DOI:
10.1039/D5CS01553G
(Review Article)
Chem. Soc. Rev., 2026, Advance Article
Direct impure water electrolysis at industrial scale
Received
17th March 2026
First published on 26th June 2026
Abstract
Without reliance on freshwater, direct impure water electrolysis (DIWE) enriches the vision of sustainably producing green hydrogen in regions with a geographical mismatch between freshwater and renewable resources. However, the roadmap of industrialization is fraught with a pyramid of interconnected challenges, especially stemming from performance degradation. Herein, this review provides a timely appraisal of diverse impurities present in seawater and wastewater. The specific impacts of impurities were reassessed to highlight the synergistic optimization toward industrial-scale implementation. Moreover, we pioneered a lucid industrial pathway based on the impurity-induced interplay. The technical and economic viability of integrating the DIWE process into existing industrial workflows was emphasized to outline promising avenues for future research.
 Jichao Zhang | Dr Jichao Zhang was awarded a PhD degree in 2024 from Prof. Ivan P. Parkin and Prof. Guanjie He's group at UCL Chemistry. He is currently working at SINOPEC and focuses on the design of novel electrocatalysts and devices for impure water electrolysis towards industrial applications. His group has been leading China's first factory-based seawater hydrogen production project. |
 Jianrui Feng | Mr Jianrui Feng was awarded a B.S degree in 2016 from Nankai University. He is currently working as a PhD candidate in Prof. Ivan P. Parkin and Prof. Guanjie He's group at UCL Chemistry. He focuses on theoretical computations and operando experiments to reveal the structure-performance relationship for impure water electrolysis and energy storage systems. |
 Daojin Zhou | Dr Daojin Zhou was awarded a PhD degree in 2019 from Beijing University of Chemical Technology and currently works as an associate professor. His recent work focuses on the design of novel electrocatalysts and devices for impure water electrolysis. He has published multiple high-quality papers in the leading chemistry, materials, and energy journals. |
 Ivan P. Parkin | Prof. Ivan P. Parkin, ranked within the world's top 500 scientists by subject area (materials science based on citations in the previous ten years), is the Dean of Mathematical and Physical Sciences at UCL. He has supervised over 150 PhD students in his 30-year career at UCL. He has been awarded 9 Prizes and medals and is a fellow of the Royal Society of Chemistry and a member of the Academia European. He has co-authored over 1000 scientific papers with citations over 70 000 and an H-index of 128. His group works on energy conversion and storage applications based on electrochemistry. |
 Xiaoming Sun | Prof. Xiaoming Sun joined the State Key Laboratory of Chemical Resource Engineering, Beijing University of Chemical Technology, in 2008. His recent work focuses on impure water electrolysis. Prof. Xiaoming Sun has co-authored over 200 scientific papers with citations over 80 000. |
 Guanjie He | Prof. Guanjie He is a Professor in Materials Chemistry and Engineering, and an ERC Starting Grant Awardee at University College London (UCL). He is an elected Fellow of the Royal Society of Chemistry (FRSC) and a Fellow of the Institute of Materials, Minerals and Mining (FIMMM). His recent work focuses on aqueous energy storage and conversion materials and devices, advanced characterization, and AI for chemistry and electrochemical engineering. |
1. Introduction
A rapid transition from fossil fuels to renewable electricity holds promise for global decarbonization.1–3 However, particularly in aviation and shipping, carbon emissions cannot be effectively alleviated by electrification alone.4–9 Hydrogen (H2), a feedstock for fertilizer production and oil refining, has been extensively explored as a complementary candidate for bolstering energy security in the near-term future.10–13 The world's major economies (the USA, China, the EU, and Japan) have published their national strategies.14 International H2 supply chains are projected to be established with at least 148 Mt per year by 2050.15–17 Unfortunately, conventional industrial-scale grey and blue H2 production has adverse environmental effects.18–20 The widely-used approaches, such as coal gasification (2C + O2 + 2H2O → 2H2 + 2CO2) and steam methane reforming (CH4 + 2H2O → 4H2 + CO2), inevitably incorporate consequential carbon emissions.21–24
As an environmentally-friendly method to sustainably produce H2, renewable-electricity-powered water electrolysis (2H2O → 2H2 + O2) has gained more attention due to the availability of ample renewables (e.g., wind and solar power).25–28 As shown in Fig. 1, this promising approach revolutionizes the usage of green H2 in extensive scenarios, involving metallurgy in the steel industry, alternative fuel in cement production, chemicals production, long-duration energy storage, personal vehicles, heavy-duty and long-haul transport.29–35 Nonetheless, commercial high-purity water electrolysis (HPWE), such as proton exchange membrane (PEM)-based and alkaline (ALK)-based systems, necessitates a freshwater-intensive supply to meet the conductivity threshold below 1 mS m−1 for ALK systems and an even lower threshold of 0.1 mS m−1 for PEM systems.36–40 The readily accessible freshwater accounts for only 0.01% of the global water resources.41 It is estimated to consume ∼3.7 Mt of freshwater per day to achieve the goal of a minimum of 148 Mt H2 per year, exacerbating the shortage of global freshwater resources.42 Notably, a geographical mismatch exists between renewable energy and freshwater resources.43–47 China serves as a key example, where major wind and solar resources are located in freshwater-scarce eastern offshore and inland arid regions.44 Similarly, worldwide regions, such as North Africa and the Middle East, also exhibit resource mismatches: rich renewable sources but limited freshwater.48–51 Therefore, this issue has sparked extensive research interest in the exploration of alternative feedwater sources.
 |
| | Fig. 1 Schematic illustrations of the production and utilization of H2 in practical scenarios. H2 plays a crucial role in achieving a carbon-neutral society. As compared to grey and blue H2, green H2 produced by renewable energy is anticipated to be applied for industry and transportation in a more environmentally friendly way. In this context, direct impure water electrolysis, such as electrolysis of seawater and wastewater, holds great potential to circumvent the use of high-purity feedwater in offshore and arid areas. | |
Impure water electrolysis (IWE) is one of the most promising strategies to ameliorate reliance on ultrapure water.52 Seawater, accounting for 96.5% of water reserves, implies an almost infinite water resource.53 The abundant natural seawater could be exploited in offshore platforms for H2 production, reducing both operational expenditure (OPEX) and capital expenditures (CAPEX) of seawater desalination.54 When deeply integrated into offshore-generated renewable power, H2 produced from seawater electrolysis further plays a crucial role as a dispatchable energy storage to surmount the intermittency of renewable power, minimizing grid losses and enhancing energy efficiency.55–58 Conversely, natural water reserves are limited in many inland arid areas. Against this background, the high-efficiency recycling of limited water sources is indispensable.59 In particular, diverse wastewater represents over 50% of total freshwater withdrawals.60–62 However, it is reported that only 11% of wastewater worldwide is recycled.63 Nearly half of untreated industrial, agricultural, and domestic wastewater still ends up in natural water bodies, resulting in groundwater contamination.64 Consequently, should we rationally valorize wastewater to produce green H2 and high-value-added by-products, a win-win synergy between water remediation and a sustainable hydrogen economy will be realized.65
Despite the encouraging prospect of the IWE-based technical route, there is a large gap from lab to market.66 Compared to HPWE, IWE faces more formidable challenges in dealing with water impurities.67 Crucially, both seawater and wastewater contain a wide variety of ions.68 For instance, anions and cations, including halide ions (e.g., Br−, Cl−) and metal ions (e.g., Ca2+, Mg2+), are known to undergo side reactions and form inorganic precipitates, compromising operational lifespan.69 Analogously, other impurities, including organic compounds,70–73 microscopic organisms,74 dissolved gases,75 microplastics,76 etc., can potentially provoke unwanted impacts. Concomitantly, in situ-generated impurities derived from the dissolution of metal-based device components carry the risk of impairing system performance.77 Furthermore, various undesired gaseous by-products can contaminate H2, leading to additional gas purification.78–80 Aside from these inherent challenges, the reliability of indirect IWE remains subject to debate. The reverse-osmosis (RO) system has been widely employed for desalination to achieve a lower concentration of ionic impurities than that of seawater.81 Qiao's group proposed a two-complementary-protection strategy for stable electrolysis of RO water in the PEM system.82 However, when the water purification system goes down, elevated impurity levels in feedwater can inevitably elicit serious performance deterioration.83 Therefore, additional purification steps, with the incremental cost of installation and maintenance, raise the question of whether the indirect IWE meets the requirements for large-scale industrial applications.
Obviously, removing all impurities to obtain ultrapure water going into the electrolyzer remains impractical. Metal catalysts are prone to deactivation due to metal leaching into the electrolyte during long-term operation, compromising the original purity of the feedwater in the HPWE system.84–86 Due to the difficulty of maintaining the high-purity of the feedwater, developing direct impure water electrolysis (DIWE) is thereby proposed to reduce costs, simplify processes, and provide meaningful guidance for HPWE-related research. Despite some debates about the negligible cost reduction, it is crucial to clarify that the development trajectory of DIWE should not be limited to obtaining cheaper H2. Moreover, the high tolerance to varying water qualities undoubtedly broadens the application scope. Ling's group consecutively claimed a series of strategies towards highly efficient direct seawater electrolysis (DSE) and the PEM system with cationic impurities.87–89 Regrettably, the current studies on impurity-induced degradation mechanisms, cost-effective catalysts, durable electrolyzers, and process integration are still in their infancy.90 As shown in Fig. 2 and the comparison table (Fig. S1, SI), most reviews are either too outdated to reflect the recent progress or partially focus on performance enhancement with a lab mindset.91–94 Consequently, a broader consensus on the role that DIWE will play within the future landscape of the H2 economy should be reached.95–97
 |
| | Fig. 2 Schematic summary of the impurity-induced interplay for impure water electrolysis at industrial scale. As compared to other review papers, we provided a comprehensive summary of impurity-induced interplay. The gap between the lab and industry was also bridged. Synergistic optimization for realizing full-chain improvement in real-world conditions was highlighted. | |
Based on the aforementioned discussion, we first analyzed the advantages of DIWE among mainstream technologies and corresponding impurity-induced challenges in this timely review. Subsequently, to tackle the above challenges, the advances in the development of scenario-oriented electrocatalysts and function-oriented electrolyzers were summarized. Lastly, underpinned by impurity-induced interaction mechanisms, we pioneered the collaborative optimization of device components to integrate DIWE technology into existing industrial workflows. The future outlook further paves the way for the goal of fully realizing the industrial application.
2. Importance of using impure water
As warned by the latest report from the United Nations research agency, our planet is entering an era of global “water bankruptcy”.98 Long-term water consumption has not only outstripped the water renewal capacity of the planet, but may have also crossed an irreversible threshold. With the development of green H2, a large amount of high-purity water is consumed, aggravating the water scarcity, especially in areas with uneven freshwater distribution. As for offshore and inland arid regions with ample solar and wind resources, impure water has been a promising candidate for sustainably producing H2, such as natural seawater and wastewater. In this section, a comprehensive analysis of the advantages of DIWE technology over other mainstream technologies was conducted. A systematic comparison was subsequently performed in terms of techno-economic and environmental impact. Based on our academic and industry experience, the potential impurity-induced challenges were ultimately introduced.
2.1. Advantages of DIWE technology
The pivotal role of green H2 has attracted widespread attention from global energy suppliers. However, the production costs pose a major hurdle to developing the H2 economy. In the current HPWE process, high-quality feedwater is usually required to ensure the lifespan of the H2 plant infrastructure. Expensive deionization processes are commonly carried out to remove undesired ions to maintain a conductivity threshold.99–102 More importantly, the in situ-generated impurities during the HPWE process could also compromise the high purity of feedwater. Accordingly, from the perspective of techno-economic feasibility and environmental impact, the advantages of developing DIWE technology were demonstrated.
2.1.1. Techno-economic feasibility. As shown in Fig. 3, offshore and inland arid regions possess ample renewables but limited freshwater. To leverage renewable power in freshwater-rich regions, long-distance power transmission will potentially cause grid losses. Provided that we select commercial HPWE technologies for on-site production, freshwater transport will be ineluctably needed for preparing electrolytes. Due to the increased production costs of green H2, the above plans are unfavorable towards industrial-scale implementation. Indirect IWE technology, such as the RO system for desalination, is considered a viable route to employ the local impure water sources. Specifically, Md Golam Kibria's group comprehensively analyzed the seawater RO technology coupled with PEM system (SWRO-PEM), including the daily energy requirement, direct capital cost, operating costs, and levelized cost of H2.103 0.1% of total energy, ∼3% of total direct CAPEX, ∼0.2% of the total OPEX, and 0.6% of the cost of H2 are needed by SWRO (Fig. S2, SI). The levelized cost of H2 reached ∼US$3.83 kg−1, predominantly governed by electricity consumption (79.6%). Lei et al. further conducted a techno-economic assessment of the offshore H2 production cost for ALK and PEM system (Fig. S3, SI), including electricity, seawater desalination, replacement, operation and maintenance (O&M) capital costs, and offshore platform building.104 Analogously, electricity expenditure constitutes the predominant proportion of H2 production costs, which is 70.5% (ALK) and 57.6% (PEM). The offshore H2 production costs were calculated to be ∼US$3.64 kg−1 (ALK) and ∼US$4.13 kg−1 (PEM). Despite the reduced electricity consumption of the PEM system, higher costs of capital investments, O&M, and desalination than those of the ALK system collectively raise offshore H2 production expenses.
 |
| | Fig. 3 Schematic summary of the advantages of DIWE technology. Compared with mature technologies, including SWRO-PEM and ALK, this review analyzed the strengths of DIWE in techno-economic viability and environmental effects, verifying the necessity of promoting DIWE technology. | |
Notably, the ionic impurity level of RO water, involving cations (e.g., Na+, Ca2+, and Mg2+) and anions (e.g., Cl−, F−, and NO3−), is considerably lower than that in natural seawater. Nevertheless, even trace ionic impurities can cause severe degradation of the PEM-based system, especially at high potentials.82 The installation costs and operational complexity of the further deionization process can remarkably limit the development of indirect IWE.105–107 Given the complexity of real-world conditions, a continuous supply of ultrapure water into the electrolyzer can hardly be sustained. The failure of additional purification and deionization processes can lead to elevated impurity levels, compromising the long-term operation durability. Accordingly, the DIWE technology that directly leverages local impure water showcases a promising route for H2 production with a streamlined process flow. Concomitantly, tolerance to different grades of feedwater is enhanced by developing suitable device components. As compared to the HPWE system with only H2 and O2 as final products, a wide range of impurities is poised to produce high-value-added by-products to boost economic efficiency. Furthermore, developing DIWE technology is expected to inspire the HPWE-related studies to overcome durability issues induced by in situ-generated impurities around the reaction microenvironment.
Admittedly, owing to the failure of rapid translation into commercial benefits, the DIWE sparked intense debate.108 Critics contend that removing the purification step brings about insignificant cost savings. Sustaining long-term durability toward complicated impurities gives rise to additional costs. Fortunately, their concerns have gradually been allayed by the technological breakthroughs in this field. Recent studies on DIWE have verified that the H2 production cost could be reduced to the 2030 target of $1 kg−1 (Table S1, SI) stipulated by the U.S. Hydrogen Shot programme.14 For example, Tang's group developed a microscopic bubble/precipitate traffic system that sustained over 150
h at 500
mA
cm−2 in natural seawater, with an estimated H2 production cost of US$1.8
kg−1.109 Sun's group further proposed a hexafluorophosphate additive strategy, achieving stable operation over 1000 h at 1.0
A
cm−2.110 The H2 production cost was calculated to be approximately US$1.07
kg−1. More encouragingly, Lu's group has achieved the simultaneous production of H2 and high-purity Mg(OH)2 from seawater over 1000 h. This co-production electrolysis system reduced the cost to US$0.61 kg−1, far below the 2030 target.111 Over the past four years, sustained research advances have greatly promoted the industrial application. Stable operation for 10
000 hours can be realized simply via catalyst modification of non-noble metal materials in mature membrane electrolyzers. This strategy does not significantly raise the energy expenditure arising from impurity interference, catalyst degradation, and maintenance.112 Phase-transition strategy further enables a H2 production scale of 1.2 Nm3 h−1 in a real ocean fluctuation environment.113 In particular, China is projected to reach a cumulative installed capacity of 1880 GW for solar power and 766 GW for wind power, yielding ∼4.9 PWh per year by 2030.114 Due to the dominant proportion of electricity costs, directly integrating low-cost renewable electricity with locally available impure water sources will emerge as one of the mainstream approaches for industrial-scale H2 production in the near future.
Overall, cost reduction lays a solid foundation for the commercialization of DIWE technology. In this context, six strategies, including plant siting, scaling up, operational optimization, efficiency enhancement, technological advancements, and digital empowerment, are summarized for further cost reduction (Fig. S4, SI). Priority should be given to the rational siting of H2 production plants. Locating facilities in regions with low electricity prices and abundant water sources could substantially reduce the total cost. Large-scale deployment of electrolyzers, prolonged operating hours, improved operational efficiency, and technological breakthroughs will collectively drive down the total costs. More notably, the adoption of digital technologies can effectively curtail operation and maintenance expenses.
2.1.2. Environmental impact. Beyond the techno-economic viability, the benefits in terms of environmental sustainability are equally remarkable. The environmental impact of HPWE is easily ignored by research communities. Specifically, the acidic or alkaline electrolytes over long-term operation can potentially deviate from their original purity level.115–117 The post-treatment of used electrolytes should be carefully performed to prevent direct discharge from damaging the ecosystem. More importantly, in the indirect IWE system, disposal of brine generated by the desalination process can potentially jeopardize the local ecosystem.118 Instead, as a more promising alternative to HPWE and indirect IWE, DIWE offers a more sustainable and flexible solution. In addition to reducing the H2 production costs, the design philosophy of DIWE technology is also based on counteracting the impact of impurities and delivering the circular concept across the full lifecycle. Distinct-grade impure water is expected to be treated in specific scenarios based on the DIWE technology. Notably, the aforementioned acidic or alkaline waste electrolyte from the HPWE system can be repurposed by utilizing robust catalysts and impurity-resistant electrolyzers. Besides, every city has its own wastewater treatment plant, where the reclaimed water can be directly electrolyzed by simply acidifying wastewater effluent to suppress the negative impact of cationic impurities.119 With relatively well-defined impurities, abundant natural seawater also holds potential to be leveraged in the anti-corrosion electrolysis system.120 Therefore, the environmentally benign principle of advancing water recycling represents another competitive advantage of DIWE technology.
2.2. Impurity-induced challenges
Despite the advantages of DIWE technology, the specific impact of impurities remains ambiguous. In this section, the main impacts and potential challenges incurred by a wide range of complicated impurities were first summarized in terms of catalysts and relevant electrolyzer components. The system fluctuation was subsequently considered to reveal the interfacial dynamic evolution. The most harmful impurities for both seawater electrolysis and wastewater electrolysis were summarized in the comparison table (Fig. S5, SI), demonstrating where the field still disagrees and pointing out the biggest knowledge gaps. The potential bottleneck issues in this section, such as electrode corrosion and electrolyzer failure, were comprehensively analysed, paving the way for the following discussion of the synergistic optimization.
2.2.1. Cations. Cations are one of the most common impurities in both seawater and wastewater. Take seawater as an example, sodium (Na+) accounts for 30.59% of the major components, followed by magnesium (Mg2+, 3.68%), calcium (Ca2+, 1.18%), and potassium (K+, 1.11%).121 Similarly, those cations could also be detected in diverse wastewater from industrial, agricultural, and domestic areas, as shown in Fig. 4a. Moreover, ammonium (NH4+), a product from the hydrolysis of urea in human and animal excreta, is the main form of nitrogen from sources such as fertilizer manufacturing, domestic sewage, livestock, and poultry farming.122–126 Furthermore, some metal cations, such as copper (Cu2+), iron (Fe2+/Fe3+) and silver (Ag+), originate from agricultural and industrial wastewater, involving pesticides, electroplating, metallurgy, tanning, electrical soldering, battery manufacturing, pigment production, etc.127–131 Notably, heavy metal cations, with strong biological toxicity, are detrimental to human beings, potentially causing accumulation in the biological chain.132
 |
| | Fig. 4 Summary of the representative ionic impurities and impurity-induced challenges. (a) and (b) Common cationic and anionic impurities in natural seawater and various wastewater from domestic, agricultural, and industrial sources. (c) The list of representative ionic impurities and their main impacts and potential challenges toward the electrolysis system was presented. We comprehensively summarized the positive and negative roles of some ionic impurities, as well as the under-researched mechanism. | |
The impact and persistent challenges provoked by specific cationic impurities were subsequently revealed in practical scenarios. Abundant alkali metal cations in natural seawater, such as Na+ (∼0.47 mol L−1) and K+ (∼0.01 mol L−1), can serve as raw materials for chemical synthesis. Seawater also contains a low concentration of lithium (Li+, ∼0.0025 mol L−1) that possesses high economic value for the battery industry. Nakamura's group has recently demonstrated that alkali cations could regulate chloride diffusion, resulting in a significant improvement in the selectivity of the water oxidation reaction.133 Li+ possessed the strongest diffusion barrier among the other examined cations (e.g., Na+ and K+), implying that the selectivity could be increased in the presence of Li+. However, further spectroscopic verification and generalization are lacking to strategically leverage certain ionic imuprities for enhanced electrocatalytic processes. Additionally, Boettcher's group claimed that electrolytes containing the alkali metal cations (Na+ and K+) yielded dramatically lower overpotentials in alkaline media.134 When penetrating the layered structure of Ni–Fe oxyhydroxide in alkaline media, Na+ and K+, with an optimal acidity and size, ensured not to bind too strongly or to alter the stability of reaction intermediates. Nonetheless, most cationic ions (e.g., Na+, K+, Ca2+, etc.) can potentially disrupt proton transport and reduce electrochemical reaction rates in PEM-based electrolyzers.52
As compared to alkali metal cations, Mg2+ (∼0.053 mol L−1) and Ca2+ (∼0.01 mol L−1) are also rich in natural seawater. They are indispensable to pharmaceuticals, food additives, paper, plastics, and the construction industry. However, during the hydrogen evolution reaction (HER) process, the local pH value can increase significantly due to the rapid consumption of protons. Mg2+ and Ca2+ are susceptible to reacting with hydroxide ions (OH−) to form the insoluble metal hydroxides on the cathode surface. These precipitates are non-conductive, thereby triggering the blockage of active sites to inhibit HER.135–138 Although acidic conditions can effectively suppress the formation of metal hydroxides, a striking fluctuation of local basic pH values (≥∼9.5) will potentially lead to undesirable hydroxide precipitation.109,139–141 Recently, Gao's group reported that NH4+ could be hydrogen-bonded with OH− from the interfacial H2O dissociation and thereby inhibited the formation of hydroxide precipitates.142 Meanwhile, these NH4+ groups were able to boost the connectivity of hydrogen-bonded networks in the electric double layer (EDL), lowering the proton transfer barrier and improving the HER energetics. Regrettably, increased concentration of such non-metallic cations can also undermine the membrane conductivity.143–145
In addition, some reducible cation contaminants with sufficiently positive standard electrode potential, such as Ag+ and Cu2+ in tap water, are prone to being deposited during the HER process, inducing unwanted activity degradation.100 More intriguingly, the dynamic role of cationic Fe impurities has attracted extensive attention. Boettcher's group found that the introduction of Fe into the Ni-based hydroxides could incur a variation in the activity of the oxygen evolution reaction (OER).146 Besides, Mullins's group also discovered that Fe impurities served as a conducive factor to enhance the OER activity when tested in Fe-unpurified alkaline electrolytes.147 Besides, the adverse effect of Fe impurities cannot be overlooked. Fe2+, possibly leaching from stainless steel bipolar plate corrosion, would initiate Fenton reactions, producing hydroxyl radicals that degrade the perfluorosulfonic acid (PFSA) backbone of the membrane.148 Analogously, cationic impurities in industrial wastewater, such as chromium (Cr3+/Cr6+), lead (Pb2+), cadmium (Cd2+), etc., can also adversely affect electrolyzer components, posing tremendous challenges in further developing DIWE technology.
2.2.2. Anions. Anions exert an equally critical influence on catalysts as well as relevant electrolyzer components. Chloride (Cl−) accounts for 55.03% of the major ion composition of seawater, which is followed by sulfate (SO42−, 7.68%), bicarbonate (HCO3−, 0.41%), and bromide (Br−, 0.19%).121 Those anions could also be discerned in various wastewater sources from industrial, agricultural, and domestic areas, as shown in Fig. 4b. Also, nitrate (NO3−) and nitrite (NO2−) are considered as the main anionic components from the nitrification of NH4+.149 Phosphate (PO43−) is easily detected in phosphorus-containing detergents and human excrement.150–153 Furthermore, other anions, such as dihydrogen/monohydrogen phosphate (H2PO4−/HPO42−), chromate/dichromate (CrO42−/Cr2O72−), fluoride (F−), sulfide/bisulfide (S2−/HS−), oxalate (C2O42−), acetate (CH3COO−), alkylbenzenesulfonate (R–C6H4–SO3−), etc., are easily detected in agricultural and industrial wastewater, involving phosphate fertilizers, electroplating, semiconductors, fluorine chemicals, petroleum refining, food processing, and the cleaning industry, etc.154–157The main impacts and persistent challenges engendered by specific anionic impurities were subsequently revealed in practical scenarios. Cl− is an abundant anion in natural seawater (∼0.55 mol L−1) and wastewater.69 As a formidable challenge, the electro-oxidation reaction of Cl− (ClOR), a rapid two-electron transfer process, can kinetically outcompete inherently sluggish four-electron OER in acidic electrolytes.158 Conversely, the OER is thermodynamically more favorable than the ClOR in alkaline media, with a potential difference of 0.48 V. Nonetheless, achieving the amper-level current density with a lower overpotential is considered a challenging task.66 The generation of corrosive species, including hypochlorite (ClO−) species in alkaline medium and chlorine (Cl2) in acidic medium, further elicits electrode degradation and breakdown of electrolyzer components, diminishing electrolysis efficiency and durability.100 Furthermore, the electrode corroded by a low concentration of Br− (∼0.00084 mol L−1) in natural seawater is easily overlooked. Lu's group ascertained that Br− poses a greater threats to non-noble-metal anodes.159 Due to the faster corrosion kinetics, extensive etching of Br− resulted in shallow-wide pits, as compared to narrow-deep pits by local Cl− corrosion. More detrimentally, halides (e.g., Cl− and Br−) and their derivatives can also compromise the properties of membranes (ionic conductivity and durability).160
Oxyanion impurities, such as sulfate (SO42−, ∼0.028 mol L−1) and bicarbonate or carbonate (HCO3−/CO32−, ∼0.002 mol L−1) in natural seawater, have been regarded as positive additives for enhancing durability. Chen's group affirmed that remarkable improvement of stability was achieved by adding SO42−. The preferential adsorption of the SO42− repulsed Cl− attack by the electrostatic repulsive forces.161 However, specific adsorption of SO42− on noble metal catalysts can potentially shift the onset with undesired performance degradation.162–164 The intercalation of other anionic impurities into layered catalysts, such as HCO3−/CO32−, and PO43−, has been evidenced as another effective strategy to suppress Cl− adsorption.165–169 F−, at a low concentration of (∼0.00007 mol L−1) in natural seawater, possesses high electronegativity.69 Utilizing this unique property was proven to be an efficient strategy for tailoring the OER selectivity. The introduction of F− was verified to boost the free water content and regulate the hydrogen bond network with favorable OH− transportation.170 Despite its widespread adoption as an ion-repelling strategy, this method remains subject to debate over plausible hypotheses instead of confirmed mechanisms. Sufficient direct evidence from both operando experiments and theoretical calculations has rarely been reported to reveal the dynamic variation of surface charges around the reaction microenvironment. More adversely, as crucial electrolyzer components in the PEM-based system, the porous transport layer and bipolar plate (PTL/BPP) are usually made of titanium (Ti)-based materials. F− was evidenced to corrode the titanium oxide (TiO2) passive film (corrosion protective layer), with a threshold corrosion concentration of 0.0005–0.02 mol L−1 F− in 0.05 M H2SO4 and 0.001 mol L−1 F− in 1 M HClO4.171–174
Organic anionic impurities, with negatively charged organic molecules, are commonly distributed in various industrial and municipal wastewater. For example, C2O42−, regarded as a chelating agent and pH regulator, is widely used in the textile and leather industries.175 Tang's group reported an in situ self-transformation tactic, converting C2O42− to CO32− for suppressing the unwanted ClOR.140 Besides, surfactants pollute water during household and industrial washing processes. Linear alkyl benzene sulfonate (LAS, R–C6H4–SO3−), characterized by a hydrophobic ‘tail’ and a hydrophilic ‘head’, is the largest group of anionic surfactants in detergents, with a concentration of 3–21 mg L−1 in domestic sewage.176 Our group has carried out a performance test in alkaline domestic dishwashing wastewater to corroborate the applicability of non-noble metal catalysts.177 Despite the outstanding activity and stability of the as-prepared catalysts, the specific impact of the organic anions remains ambiguous due to their complicated physicochemical properties.
Consequently, the main impacts and potential challenges of the above-mentioned cationic and anionic impurities are outlined in Fig. 4c. Despite the partial summarization, it is impractical to include all the ionic impurities owing to the complexity and diversity of impure water sources. The introduction of representative ionic impurities and their specific impact has systematically pointed out the most common impurity-induced challenges, paving the way for the subsequent development of catalysts and relevant electrolyzer components. More crucially, it is advisable to comprehensively evaluate both favorable and adverse impacts of impurities across the entire system.
2.2.3. Non-ionic impurities. Impurities are generally classified into two different types: exogenous and endogenous impurities.52 Exogenous impurities are identified as those originally contained in distinct-grade water. Apart from the above-mentioned ionic impurities, organic impurities, mainly from conventional organic wastewater, biomass wastewater, and nitrogenous wastewater, are able to exert impending threats to the system performance.178 As shown in Fig. 5, those small molecules, with a lower thermodynamic potential than that of the OER, are preferentially oxidized at the anode, reducing the voltage required to obtain the same current density. However, the products, carbon monoxide (CO) and carbon dioxide (CO2), can potentially poison active sites via strong adsorption, diminishing catalytic activity.179 More adversely, gaseous products can cross over to the cathode, lowering the quality of H2 and requiring additional purification processes. Those organic compounds are vulnerable to reacting with membrane materials, affecting the ionic conductivity and thereby causing degradation.52
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| | Fig. 5 Summary of the representative non-ionic impurities and impurity-induced challenges. Organic impurities, dissolved gas, microorganisms, and solids were introduced to analyze the frequently overlooked impact and potential challenges. | |
As for natural seawater, it contains large amounts of dissolved gases such as nitrogen (N2), oxygen (O2), argon (Ar), etc. The concentration of those gaseous impurities ranges from nmol L−1 to μmol L−1. Although chemically inert gases can hardly threaten the systematic performance, they will lower the H2 quality to meet stringent standards.52 Moreover, the variety of biological substances in seawater is often overlooked. Biofouling has been evidenced to clog the active sites and the pores of the membrane, triggering significant performance degradation.180–182 To date, little research has been carried out to reveal the specific impact of biofouling on device components, as well as anti-biofouling measures. In addition, endogenous impurities are usually regarded as the species generated during the degradation process within the electrolyzer system. Although seawater typically undergoes simple filtration to remove inert solid impurities (e.g., sand and microplastic particles) before use, errors in system design and improper maintenance may also introduce solid impurities during long-term operation.101 Concomitantly, those solid impurities in the electrolyte can continuously accumulate, thus obstructing porous transport channels and causing mass transfer issues.52
Therefore, it has been shown that both ionic and non-ionic impurities in distinct-grade water would pose enormous challenges to device components.183 Simultaneously, it is urgent to develop an effective approach that not only minimizes the adverse impacts but also capitalizes on inherent impurities, realizing a win–win synergy of pollutant degradation and clean energy production.
2.2.4. Interfacial dynamic evolution. Real-world operating conditions, including seasonal, geographical, and environmental fluctuations, can potentially lead to significant dynamic evolution of impurities around the reaction microenvironment. Specifically, DIWE, driven by renewable energy, suffers from fluctuating power input.184–186 Our group recently discovered that the cathode typically underwent oxidation when the reducing potential was discontinued. Due to pseudocapacitive properties of redox-active electrodes, halide ions (e.g., Cl− and Br−) tended to adsorb onto the cathode during shutdown and discharge processes, causing catalyst deactivation.112 More adversely, continuous consumption of fresh impure water during the DIWE process provokes a significant increase in salinity levels in the electrolyte, resulting in undesired interfacial corrosion.187Stabilizing interfacial pH fluctuation occurring near the electrodes is another formidable challenge during the DIWE process. Due to the lack of abundant buffering agents and slow transfer of H+ and OH−, the ionic impurities alone in natural seawater (pH = 8.0–8.3) can hardly regulate the local pH gradient.68 Rapid consumption of protons under high current density drives the local pH to increase remarkably, thus instigating the cationic impurities (e.g., Mg2+ and Ca2+) to form hydroxide precipitates. This knock-on effect, driven by interfacial dynamic pH variations, alters the concentration of ionic impurities and blocks the active sites, exacerbating performance degradation. Consequently, incorporating buffering agents and circulating electrolytes constitutes a key factor in modulating pH gradients.188
3. Scenario-oriented electrocatalyst development
Electrocatalysts are one of the most widely studied components.189 To resist the influence of various impurities in complex environments, it is essential to develop cost-effective electrocatalysts based on diverse criteria.190–192 In this section, by fully drawing on the theoretical framework of mature HPWE technology, the impurity-induced interplay on electrocatalyst design was reassessed for the DIWE process. Moreover, recently reported strategies targeting typical challenging scenarios are comprehensively reviewed, guiding the electrocatalyst development under complicated real-world conditions.
3.1. Undesired precipitation at the cathode
As the cornerstone in producing H2, the HER consumes the dissociated H+, thereby engendering an increase in local pH.193 Platinum (Pt)-based materials are generally used as the cathode for commercial implementation owing to their optimal adsorption of hydrogen and outstanding stability.194 Despite numerous efforts devoted to developing non-noble metal materials (e.g., Ni, Co, and Fe) to replace the expensive Pt-based materials, there is still a large room for further improvement towards industrial deployment.195 Regrettably, the development of cathodic catalysts toward DIWE is more challenging. Due to interfacial pH gradients, cationic impurities (e.g., Mg2+ and Ca2+) can react with residual OH− to form unfavorable hydroxide precipitates at the cathode. Although the pre-treatment could remove those alkaline earth metals by simply introducing alkali additives to form hydroxide precipitates, this electrolyte refining process requires the additional cost of alkali (e.g., US$ 800 ton−1 of potassium hydroxide, KOH).69
To overcome this knotty problem, promoting reaction kinetics and limiting local pH increase are key to obviating catalyst deactivation. To date, several strategies have been suggested to confine Mg2+ and Ca2+ or OH− around the reaction microenvironment, empowering cathode anti-precipitation properties.196 As shown in Fig. 6, Tang's group constructed a microscopic bubble precipitate traffic system (MBPTS) on the cathode to repel nearby inorganic precipitates by forming strong localized airflows.109 An industrially-relevant stability at 500 mA cm−2 for 150 h was achieved to produce cheaper H2. Qiao's group conceived a localized acidic microenvironment by incorporating a tungsten oxide (WO2) substrate, where a dynamic proton-buffering system was constructed.197 The accumulation of OH− was thereby inhibited with optimized adsorption energetics. This self-regulated proton regulation strategy enabled long-term operation at 100 mA cm−2 for 500 h. Regulating wetting properties and micro-nano morphologies was also shown as effective approaches for mitigating cathodic precipitation. Lu's group constructed a nanoconfined hydration layer between the electrode and precipitates, initiating hydration-mediated repulsive forces to suppress heterogeneous nucleation and scale adhesion.198 Such a solidophobic strategy allowed stable operation over 1000 h in concentrated Ca2+/Mg2+ solutions without conspicuous scale adhesion. Feng's group articulated a tip-effect-enhanced electrostatic repulsion strategy by creating nanostructures with high curvature on the cathode.199 The enhanced electric field, evoked by the tip effect, suppressed the accumulation of OH− on the electrode surface, thus alleviating metal hydroxide formation and preventing electrode clogging.
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| | Fig. 6 Schematic illustration of strategies to inhibit undesired metal hydroxide precipitation on the cathode surface. Four commonly reported strategies, including the microscopic bubble precipitate traffic system (MBPTS), local-pH regulation, solidophobic surface, and tip effect, were summarized to reveal the metal precipitation at the cathode. | |
Notably, high-purity magnesium hydroxide (Mg(OH)2) has a significant economic value (US$ 1000–1500 ton−1) due to its widespread industrial applications.200 The solidophobic strategy proposed by Lu's group has been regarded as an effective way to recover high-purity Mg(OH)2 along with H2 production.111 Nonetheless, sufficient direct evidence from operando experimental observation is lacking to reveal how the Pt-I catalysts precisely control the local pH value within the range of Mg2+ precipitation (∼9.3) and Ca2+ precipitation (∼12.0). Therefore, metal resource recovery will help lower H2 production costs, facilitating wider industrial deployment of DIWE technology.
3.2. Side reaction of chloride oxidation at the anode
The development of OER catalysts is also confronted with impurity-induced challenges. As mentioned in Section 2, the pH of the electrolyte is an essential factor in determining the selectivity of OER. In acidic conditions, the expensive iridium and ruthenium (Ir/Ru)-based catalysts are commonly used due to their stronger durability.201 However, catalysts with OER activity (1.23 V versus the standard hydrogen electrode (SHE) at pH 0) are susceptible to the ClOR side reaction (1.36 V versus SHE at pH 0) at high applied potentials. In neutral media, the ClOR shifts to the HClO pathway with a broader potential window for the OER as compared to acidic conditions. Nonetheless, the OER process causes a local pH drop at the anode, making the ClOR more competitive. Highly alkaline conditions are more favorable for OER (0.40 V versus SHE at pH 14) as compared to the ClOR (0.89 V versus SHE at pH 14) in the DIWE process.202–204 Unfortunately, corrosive ClO− would form on the anode under high potential conditions, leading to unfavorable competition with the OER. This conspicuous impact may be attributed to active sites being shared by both ClOR and OER. Correspondingly, a two-electron transfer process with by-products can elicit catalyst poisoning or corrosion of the electrode. Beyond the requirement of high activity and stability, the Faradaic efficiency and selectivity of the anodic catalysts toward ClOR should be fully taken into consideration for the DIWE process.
To date, several strategies have been reported to alleviate the ClOR. As shown in Fig. 7, intensive studies have focused on incorporating the negatively charged layer (e.g., PO43−, SO42−, MoO42−, etc.) anchored onto the anode surface.205–209 Leveraging electrostatic exclusion to repel Cl− adsorption is conceived as the core function of those negatively charged layers. Moreover, Lewis acid oxides (e.g., MnO2, Cr2O3, V2O3, etc.) have been proposed to shield active sites from Cl− attack and sustain OH− enrichment.210–212 This simple modification strategy has been regarded as an effective way to construct a local alkaline environment, which is conducive to enhancing both OER kinetics and resistance to Cl− corrosion.213 More ingeniously, Lu's group heralded a novel approach to capture free Cl− via AgCl precipitation and subsequently suppress Cl− adsorption. This common-ion repulsion effect significantly improved corrosion resistance, with negligible performance degradation over 5000 h at 400 mA cm−2.214 In addition, encapsulation of the metal active sites in armored shells, such as graphite, carbon nanotubes (CNT), manganese oxide (MnOx), silicon oxide (SiOx), and phthalocyanine, has recently garnered attention for preparing robust catalysts towards harsh real-world conditions.215–221 When integrated with the above-mentioned methods, multifunctional protective layers could be constructed. Tang's group proposed a triple-protected design philosophy.222 Filtering out Cl− via PO43− barriers and nanosized MnO2 alleviated corrosion issues. Tip-connected nanowires with cage-like architectures further minimized the physical destruction from the bubble impingement. Despite various methods developed to mitigating Cl− corrosion, dense metal oxide layers might obstruct active sites with limited OER activity. More adversely, anions might suffer from depletion under high current density owing to gas evolution and electrolyte flow. Therefore, it is essential to design electrocatalysts that can maintain high activity, durability, and selectivity for industrial-scale deployment.223
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| | Fig. 7 Schematic illustration of strategies to repel Cl− adsorption on the anode surface. Four commonly reported strategies, including negative charge layer modification, local-pH regulation, Cl− fixation, and protective layer construction, were summarized to reveal the side reaction of chloride oxidation at the anode. | |
3.3. High-potential dissolution at the anode
Improving the working potential of OER catalysts is crucial for enhancing water splitting efficiency and cutting costs. Unfortunately, the high-potential dissolution issues (thermodynamic material instability) of OER catalysts can hardly be overlooked under intricate reaction microenvironments.224 Unlike HPWE, DIWE is affected by the dual challenges of impurity corrosion and high-potential dissolution. Specifically, due to the in situ-formed highly active Ni/Co hydr(oxy)oxide phases with tunable electronic structure achieved by Fe3+ incorporation, Ni/Co-Fe layered double hydroxides (LDHs) have been regarded as the benchmark of non-noble metal catalysts in alkaline media.225–228 However, these highly active OER catalysts suffer from dissolution under high potential conditions. As shown in Fig. 8a, Markovic's group discovered a dynamically stable interface with dissolution and redeposition of active sites.229 In Fe-free electrolytes, an 80% decline in OER activity was observed alongside a roughly 80% loss of iron species from the catalyst surface. Intriguingly, when tests were performed in an electrolyte with 0.1 ppm Fe, no conspicuous changes in the catalysts were found. Concomitantly, even a modest activity enhancement was detected. The subsequent experiments on the ternary hydr(oxy)oxides (M1–M2–M3–OxHy) further elucidated that OER activity monotonically increased according to the 3d transition metal family, following the order: Ni–Fe–Cu > Ni–Fe > Ni–Fe–Co > Ni–Fe–Mn. This improved OER activity was ascribed to the enhanced Fe adsorption, thus entailing a higher surface concentration of Fe active sites.
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| | Fig. 8 Schematic illustration of the effect of ionic impurities in the electrolyte on the degradation of hydr(oxy)oxide OER catalysts. (a) Fe impurity-induced dissolution and readsorption. Adapted with permission from ref. 229, copyright 2020 Springer Nature. (b) Interlayer and surface adsorption of PF6−. Adapted with permission from ref. 110, copyright 2025 Springer Nature. (c). Utilization of Cl− to stabilize the active sites. Adapted with permission from ref. 231, copyright 2023 John Wiley & Sons, Inc. (d) Water-hydroxide trapping strategy to suppress Co dissolution. Adapted with permission from ref. 86, copyright 2024 American Association for the Advancement of Science. | |
Beyond leveraging metal cationic impurities to strengthen dissolution resistance, Sun's group pioneered single-anion engineering to tailor the interlayer and surface of the LDH-based materials.110 The layered and positively charged nature of LDH-based materials facilitated anion intercalation. Initiated by a low applied electric field, hexafluorophosphate (PF6−) could easily intercalate into the interlayers and adsorb onto the surface of the Ni–Fe LDHs, as shown in Fig. 8b. PF6− exhibits weak coordination with Fe sites, inhibiting undesired Fe segregation. The accumulation of PF6− ions further excludes Cl− penetration during the seawater oxidation process. This bifunctional design philosophy maintained stable operation over 5000 h.
Notably, electrolyte-induced strategies, such as utilizing Cl−, have recently been reported to stabilize the active sites.230 Despite being traditionally regarded as harmful anionic impurities in the DIWE system, the positive role of Cl− was uncovered by Qiao's group.231 According to the operando spectroscopic results, the specific adsorption of Cl− on Fe sites could enhance the valence of Ni and lower Fe valence. As shown in Fig. 8c, driven at high potential, the increased Fe valence becomes a hard acid and is easily attacked by OH− (hard base), resulting in unwanted leaching and poor durability. In alkaline seawater, however, the leaching could be suppressed by the protection of adsorbed Cl−. Meanwhile, increased Ni valence and the transition from the lattice oxygen mechanism (LOM) to the adsorbate evolution mechanism (AEM) were further verified to be responsible for the enhanced OER activity. Analogously, the cobalt-based oxides (CoOx) are regarded as a promising alternative to expensive Ir/Ru catalysts for acidic OER. Nonetheless, as shown in Fig. 8d, Co3O4 is prone to H+/H3O+ attack with severe Co ion dissolution in acidic media. In this regard, Arquer's group successfully incorporated the high-valence sacrificial element tungsten (W) to form a CoWO4 (CWO) crystal structure.86 This sacrificial element could be selectively removed by the water-hydroxide-WO42− anion exchange process, subsequently evoking structural delamination, trapping, and stabilization of water-hydroxide in the defect network. This water-hydroxide shielding strategy inhibited Co ion dissolution and achieved stable operation for 608 h at 1000 mA cm−2.
3.4. Anodic oxidation of organic impurities
Owing to sluggish four-electron-transfer kinetics with a high theoretical potential (1.23 V vs. the reversible hydrogen electrode (VRHE)), it is impractical for OER catalysts to completely circumvent detrimental competition with the ClOR.232 To fix this bottleneck issue, the hybrid electrolysis strategy paves the way for breaking the limit of OER. Since rich organic impurities already exist in some wastewater sources, it is highly possible that these organic molecules can be oxidized at a lower potential to replace OER at the anode.233 Qiao's group developed a Co-doped Cu3P catalyst as both the anode and cathode to couple seawater electrolysis with formaldehyde (HCHO) oxidation. As shown in Fig. 9, the theoretical potential of partial oxidation to generate formate is only −0.22 VRHE, remarkably negative compared to the OER (1.23 VRHE).234 More subtly, integrating seawater electrolysis with upcycling of polyethylene terephthalate (PET) waste was reported by Chen's group.235 The as-prepared Pd–CuCo2O4 catalyst boosted the adsorption of PET-derived ethylene glycol (EG) and subsequently facilitated the partial oxidation to form GA. This EG-to-GA process manifested an ultralow theoretical oxidation potential (0.065 VRHE), effectively obviating corrosion of the anode. Analogously, abundant urea-bearing wastewater acts as another promising candidate for oxidation at the anode for energy-saving.236 Urea is detected as the main component of urine (∼150–580 mM) with favorable theoretical oxidation potential (0.37 VRHE).237 Aside from this organic impurity in urine, large amounts of ionic impurities, such as Cl− (∼40–280 mM), SO42−, NH4+, PO43−, and Ca2+ (∼2–56 mM), were present.238 Notably, the rich Cl− impurities in urine can also give rise to the degradation of the electrode. In this regard, Qiao's group claimed an interfacial microenvironment strategy by leveraging a Lewis acid to modify Ni phosphide catalysts.239 The as-prepared catalysts required only 1.62 V to reach the current density of 3000 mA cm−2 and exhibited a long-term durability for 1000 h. As compared to the electrooxidation of urea with carbon emissions, hydrazine oxidation (HzOR) possesses a negative theoretical oxidation potential (−0.33 VRHE). Besides, the electrooxidation of hydrazine-rich industrial wastewater can further alleviate environmental pollution. Qiu's group integrated HzOR with neutral seawater electrolysis.240 The as-prepared NiCo/MXene-based catalyst showcased a low electricity expense of 2.75 kWh m−3 H2 at 500 mA cm−2, reducing the energy input by 48% in contrast to commercial alkaline water electrolysis.
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| | Fig. 9 Summary of the representative organic impurities and their theoretical oxidation potential. Commonly reported organic impurities, including but not limited to formaldehyde, ethylene glycol, urea, hydrazine, etc., were summarized with the lower theoretical potential to replace the OER. Additionally, ML-assisted catalyst design was suggested to accelerate the development of organic oxidation reactions. | |
Although substantial progress has been made by utilizing diverse organic impurities to assist H2 production, a severe challenge is to separate and purify the products from the electrolyte. Due to a wide range of organic impurities in distinct-grade wastewater, the impurity-induced interference merits sufficient attention. Furthermore, it is laborious to develop the optimal catalyst for hybrid electrolysis based on trial-and-error practice. This labor-intensive field usually involves time-consuming experimental synthesis and evaluation, deeply relying on the chemical intuition of investigators. In this context, applying machine learning (ML) could be an effective tool to manage complex systems with multiple variables.241 This new research paradigm aims to figure out hidden correlations among high-dimensional datasets, filling the gap between simplified models and optimal catalysts for multiple electrooxidation reactions of organics. However, ML-driven electrocatalyst design has barely been touched upon in this field. High-fidelity datasets and reliable ML models are required to help researchers wisely choose synthesis recipes of the catalysts according to the specific scenario.
4. Function-oriented electrolyzer development
Despite substantial efforts devoted to catalyst development, further innovation of the functional electrolyzer is indispensable for the abovementioned challenging scenarios.160 As compared to the HPWE technology, electrolyzer design for DIWE is confronted with a pyramid of interconnected issues provoked by various impurities. In this section, building upon the recently reported advances in this field, mature membrane-based water electrolyzers were first elucidated. The notable knowledge gap between the specific impact of impurities and the membrane degradation mechanism was bridged. The emerging novel design philosophy was subsequently reviewed to develop functional electrolyzers for the DIWE system.
4.1. Membrane-based electrolyzer
Membrane-based electrolyzers are commonly leveraged to separate the gaseous products from the cathode and anode (H2 and O2), involving proton exchange membrane water electrolyzers (PEMWE), alkaline water electrolyzers (AWE), anion exchange membrane water electrolyzers (AEMWE), and bipolar membrane water electrolyzers (BPMWE). The crossover of active species can be obviated, concomitantly achieving higher current density by minimizing ohmic losses.96 Notably, there is growing interest in improving membrane technology to meet the requirements of the DIWE process.100 However, engendered by uncontrolled migration of impurities, membranes are fragile and even deteriorate before other electrolyzer components. In this context, a more efficient and feasible functional membrane-based electrolyzer is instrumental in scaling up DIWE.97
4.1.1. PEMWE. Emerging from NASA's space programs in the 1960s, PEMWE is expected to account for 40% of the green H2 market.242 In the commercial PEMWE-based system, the expensive cathode (e.g., Pt) and anode (e.g., iridium oxide(IrO2)) are separated by a costly Nafion membrane that is composed of PFSA polymers.119 As shown in Fig. 10, the H+ goes through the membrane and couples with electrons at the cathode to form H2. This simple configuration enables high current densities (up to 3000 mA cm−2) and exhibits fast dynamic response, highlighting its strong potential for industrial-scale production of high-purity H2 (>99.9%).243–245 Regrettably, stringent requirements for water purity impose enormous challenges for the application with impure feedwater. Although the insoluble hydroxides could be effectively suppressed at the cathode under acidic conditions, the Nafion membrane is extremely sensitive to cationic impurities (e.g., Na+ and Fe2+). The proton conductivity would be severely jeopardized by those cationic impurities during long-term operation. Additionally, most metal catalysts suffer from dissolution in acid medium with poor durability.246 Restricted choices among noble metal catalysts further elevate capital expenditure in PEMWE systems.247 More adversely, the competing ClOR in acid conditions deteriorates OER selectivity, provoking unwanted corrosion in device components. Collectively, the above negative factors contribute to the poor lifespan of PEMWE toward industrial-scale DIWE application.
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| | Fig. 10 Schematic illustration of the configuration of membrane-based electrolyzers. Four commonly reported membrane-based electrolyzer configurations, including PEMWE, AWE, AEMWE, and BPMWE, were summarized to reveal the challenges toward the DIWE process. The characteristics of each membrane-based electrolyzer were introduced in terms of cell configuration and ion transport. | |
4.1.2. AWE. Commercialized since the 1950s, AWE has become one of the most widely employed electrolyzers for large-scale hydrogen production.116 Electrodes, comprising non-noble metal-based materials (e.g., Ni, Co, Fe), are separated by the porous diaphragm (e.g., Zirfon).248 Liquid alkaline electrolyte (e.g., 30–40% KOH) is thereafter incorporated into the two-compartment cell. Generally, H2O is split into H2 and OH− at the cathode. OH− subsequently passes through the porous diaphragm and is ultimately oxidized at the anode to form O2. As compared to the PEMWE, AWE is well-suited to be scaled up owing to the utilization of low-cost catalysts and non-ion-exchange membranes.249 Also, the alkaline environment creates the conditions for pre-treatment to remove Ca2+/Mg2+. The OER selectivity could also be enhanced in alkaline media. Those advantages of the AWE hold great potential to be applied in the DIWE system. Nonetheless, the inherent cell configuration impedes the operation at large current densities. High permeability can lead to uncontrolled ion migration, such as Na+, H+, OH−, and Cl−. The wide range of impurities further imposes challenges related to membrane blockage and gas crossover.250
4.1.3. AEMWE. Combining the advantages of PEMWE and AWE, AEMWE has attracted more attraction for application in the DIWE system.251 Water is reduced at the cathode with the formation of H2 and OH−. The OH− thereafter migrates through the AEM and is oxidized to O2 at the anode. When moving to a larger-scale system for industrial implementation, water is usually supplied to the anode to collect high-purity H2 at the cathode. The AEM, with the inherent water uptake and transport properties, allows water to pass from the anode to the cathode. The OH− generated from the splitting of H2O can subsequently return to the anode.90 Operating in alkaline environments with high ion conductivity, AEMWE can use non-noble-metal catalysts to achieve large current densities without conspicuous gaseous crossover. The activity and selectivity of OER would further be enhanced in the alkaline medium. Unfortunately, inevitable Cl− crossover through the AEM would facilitate the formation of ClO− and anode corrosion.252 When directly supplying chloride-rich feedwater to the anode, unwanted ClOR and corrosion risks would be intensified.
4.1.4. BPMWE. Building upon the above discussion, the dynamic evolution of the local pH environment imposes persistent challenges. In this context, BPMWE, comprising AEM and PEM, has been designed to achieve the optimal pH environments for each half-reaction.253,254 Water is split at the interface between AEM and PEM.255 The undesired ClOR would be suppressed at the anode by the local alkaline environment with the use of AEM. Concurrently, the precipitation of hydroxides can be suppressed at the cathode by the local acidic environment generated by the proton flux from the PEM. Integrating the merits of PEMWE and AEMWE, BPMWE is regarded as a promising candidate for the DIWE system. Regrettably, impurity-induced impact can potentially impede its further scalability. BPM is susceptible to inorganic and organic impurities. The degraded ion conductivity would result in poor durability over long-term operation. Similar to AEMWE, when a chloride-rich electrolyte is directly supplied to the anode, corrosion risks and the ClOR at high potentials remain unresolved. Correspondingly, degradation mechanisms and strategies necessitate further investigation to adapt the BPMWE to the DIWE system.
4.2. Novel functional electrolyzer
Based on the discussion of conventional membrane-based electrolyzers, it is concluded that they share common issues elicited by impurities. The overwhelming focus on catalysts often overshadows the equally critical role of other device components. On this point, an efficient and sustainable DIWE system is supposed to possess facile device configurations with suitable components. Different grades of feedwater can be supplied as an electrolyte with minimal treatment. An industrial-scale current density with low energy consumption is expected to be sustained without conspicuous degradation over long-term operation. Consequently, to develop novel functional electrolyzers toward the DIWE process, a series of design strategies is comprehensively reviewed in this section.
4.2.1. Direct and indirect water-vapor electrolysis cells. As shown in Fig. 11a, distinct from conventional water-liquid electrolysis (WLE), solid oxide electrolysis cells (SOEC), operating at high temperature (400–800 °C), directly split water vapor at the cathode to form H2 and O2−.256–258 The O2− subsequently passes through the solid oxide electrolyte to the anode and is ultimately oxidized to O2. In contrast to the abovementioned membrane-based electrolyzers, gaseous water molecules are supplied into cells instead of aqueous feedwater.259 This inherent merit of water-vapor electrolysis (WVE) potentially separates water from other impurities (e.g., Cl−, Ca2+, Mg2+). Also, the introduced thermal energy input allows a higher electrolysis efficiency. Despite its notable merits over conventional electricity-driven electrolyzers that operate below 100 °C, the higher operating cost associated with high-temperature working conditions imposes limitations on its widespread application. High operating temperature engenders a limited range of catalysts with high thermal stability. Furthermore, even a trace amount of salt particle contaminants, mixed with the gas flow, can potentially clog the inlet and result in system failure.90 Accordingly, these device-level challenges necessitate a suitable gas flow design and pre-treatment strategies to preclude potential performance degradation.
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| | Fig. 11 Schematic illustration of the direct and indirect water-vapor electrolysis cell. (a) SOEC. (b) Vapor-fed anode. Adapted with permission from ref. 260, copyright 2025 Royal Society of Chemistry. (c) Process flow chart of the SVE system. Adapted with permission from ref. 261, copyright 2024 Royal Society of Chemistry. (d) WBM. Adapted with permission from ref. 262, copyright 2022 Springer Nature. | |
To circumvent the limitations brought by high temperature, as shown in Fig. 11b, low-temperature (<100 °C) WVE has garnered extensive attention. Logan's group proposed the vapor-fed anode configuration coupled with a saltwater catholyte.260 The humidified gas stream is directly pumped into the anode with the generation of protons and oxygen. The formed protons subsequently migrate through the PEM to the cathode chamber. The water required at the anode is supplied by the water vapor, as well as the water diffusing from the saltwater catholyte through the membrane. This unique configuration for saltwater electrolysis exhibited comparable performance to a conventional PEMWE. More beneficially, the migration of Cl− from cathode to anode is prevented by the charge repulsion of the PEM. Pronton transfers from the anode and alleviates the undesired migration of Na+ through the PEM. As shown in Fig. 11c, Shao's group further introduced a semi-vapor electrolysis (SVE) system based on the PEMWE technology.261 In this SVE system, low-temperature vapor electrolysis takes place at the anode while liquid water is circulated at the cathode. Notably, the generation of ultrapure water vapor from non-volatile impurities (e.g., salts, precipitation, etc.) creates the possibility of direct electrolysis of various impure water sources. By recycling O2 products as the vapor carrier gas, performance identical to that obtained using N2 or air was measured. More favorably, the sufficient waste heat generated during the electrolysis process could be a suitable energy source for low-temperature vapor production, while simultaneously yielding pure water as a by-product. The above optimized workflow further mitigates energy consumption and system complexity.
Intriguingly, as shown in Fig. 11d, Xie's group introduced a hydrophobic porous waterproof breathable membrane (WBM) to separate the seawater and self-damping electrolyte (SDE).262 The interfacial vapour pressure (Pvapor) difference enables the escape of water vapor from seawater to SDE, without extra energy consumption. The water vapor is subsequently re-liquified by the adsorption of the SDE. As an indirect WVE process, water vapor is converted into pure water for subsequent electrolysis. In contrast to the above direct WVE system, this novel electrolysis configuration relies on a self-driven phase transition mechanism, realizing in situ water purification and electrolysis processes. The impurity-induced challenges during the DSE process are effectively ameliorated. Nonetheless, the optimal working temperature (70–90 °C) for vapor-phase water transfer impedes the direct utilization of natural seawater in offshore regions. Concurrently, the deployment of a strongly alkaline electrolyte potentially poses a threat to the ocean ecosystem due to the occurrence of uncontrolled leakage under unexpected fluctuations.
4.2.2. Novel ionic-conducting electrolyzer. Alternatively, developing novel ionic-conducting electrolyzers has become an effective tool to sustain ionic balance and inhibit the unfavorable crossover.263–266 As shown in Fig. 12a, Qiao's group proposed an ion-selective gate (ISG) strategy toward the electrolysis of impure water.267 This facile configuration features the direct coating of commercial catalysts with ionomers. At the cathode, anion-selective ionomers boost the OH− migration and prevent cationic impurities (e.g., Ca2+/Mg2+) from forming hydroxide precipitates. At the anode, cation-selective ionomers enhance the H+ migration and prevent the Cl− attack. The stable interface across both electrodes exhibits broad applicability for diverse impure water sources. However, this ISG-based electrolyzer still lacks degradation monitoring to deal with unexpected perturbations under intricate environments, necessitating further enhancement to sustain the durability and selectivity.
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| | Fig. 12 Schematic illustration of novel ion-conducting configurations. (a) ISG. Adapted with permission from ref. 267, copyright 2025 Springer Nature. (b) CEM. Adapted with permission from ref. 269, copyright 2023 Springer Nature. (c) Gel electrolyte. Adapted with permission from ref. 271, copyright 2025 Royal Society of Chemistry. | |
Designing novel ion exchange membranes also plays a crucial role in improving the electrolyzer performance. Cation exchange membranes (CEM) are known for selectively allowing cations, particularly Na+, to go through during the DIWE process.268 Recently, by utilizing the Na+-conducting membrane, Li's group has developed an asymmetric electrolyzer with a dual electrolyte configuration.269 As shown in Fig. 12b, sodium hydroxide (NaOH) is selected as the anolyte. Meanwhile, the natural seawater serves as the catholyte. Driven by the applied potential, OH− is converted to O2 at the anode. Na+ subsequently passes through the Na+-conducting membrane from the anode to the cathode. Concurrently, H2 and OH− are formed at the cathode. This novel asymmetric configuration suppresses Cl− migration to the anode, preventing the undesired ClOR. More beneficially, the circulation of seawater alleviates the fluctuation of local pH, deterring the unwanted hydroxide precipitation at the cathode. However, intricate environments pose greater threats to the durability and selectivity of the CEM, inducing unexpected ionic crossover and electrolyte leakage. These risks might eventually cause failure of system performance. Therefore, periodic evaluation during electrolysis, including real-time monitoring of membrane fouling and electrolyte leakage, is crucial, particularly with the aid of ML model predictions.270
Concerning the strong alkaline electrolyte leakage, Xie's group further improved their previous strategy by incorporating the gel electrolyte.271 As shown in Fig. 12c, the external seawater is isolated from the internal electrode and the gel electrolyte by deploying hydrophobic breathable membranes. In this optimized configuration, the gel electrolyte, made of KOH modified polyvinyl alcohol (KOH-PVA), is shown to conduct ions, mediate water migration, and prevent gas crossover. The vapor pressure difference between the gel electrolyte and seawater drives the migration of water vapor from the seawater to the gel electrolyte. Induced by concentration gradients, water molecules arrive at the electrode through dissociation and association with the OH− ions in the gel. The water is ultimately split into O2 at the anode and H2 at the cathode. Concomitantly, the OH− in the gel migrates from the cathode to the anode with the formation of an ion pathway. The as-prepared gel electrolyte manifested the capability of producing H2 directly from the humidified gas atmosphere over 220 h. Regrettably, gel-based materials are inherently vulnerable to dehydration under high-temperature and dry environments, thereby triggering the alteration of their physicochemical properties.272–274 Given the unexpected perturbation in real-world environments, there is still a large gap before extensive industrial applications.
4.2.3. Novel membraneless electrolyzer. Building upon the above discussion, employing membranes or similar functional media plays an essential role in inhibiting the hazardous mixing of H2 and O2. However, their degradation under complex conditions is also identified as the main source of system failure. Accordingly, the membraneless electrolyzer has emerged as a promising alternative to reduce capital investment costs and enhance the lifespan of the system.275 To ameliorate the membrane dependence, the conventional methods mainly focus on the optimization of cell configurations with the specific flow-field designs and bubble management. For example, as shown in Fig. 13a, buoyancy forces are employed in an angled cell to drive O2 and H2 bubbles into gas reservoirs.276 More intriguingly, as shown in Fig. 13b, fluid dynamic forces are deployed in microfluidic cells to trigger laminar flows of O2-containing anolyte and H2-containing catholyte that ultimately separate in the T-shaped channels.277 As shown in Fig. 13c, flow-through cells are further designed to drive the flows of the anolyte and catholyte through porous anodes and cathodes to realize the separation of O2 and H2.278
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| | Fig. 13 Schematic illustration of the configuration of membraneless electrolyzers. (a) Angled electrolysis cells. Adapted with permission from ref. 276, copyright 2018 Elsevier. (b) Microfluidic cells based on the Segré-Silberberg effect. Adapted with permission from ref. 277, copyright 2015 Royal Society of Chemistry. (c) Divergent electrode-based flow through cells. Adapted with permission from ref. 278, copyright 2015 Elsevier. (d) COF mediator-based decoupled water electrolysis. Adapted with permission from ref. 281, copyright 2025 John Wiley & Sons, Inc. (e) The bromide/bromate decoupled water electrolysis. Adapted with permission from ref. 283, copyright 2024 Springer Nature. | |
Recently, decoupled water electrolysis (DWE) with the supply of the same electrolyte in undivided cells has garnered extensive attention for membraneless electrolysis.279 In the DWE system, solid-state redox mediators are usually introduced as auxiliary electrodes, temporally and spatially regulating the exchange of H+ or OH− with the cathode and anode.280 For instance, Yang's group developed a decoupled seawater direct electrolysis (DSDE) system with a membrane-free configuration and desalination-free operation.281 They employed TQBQ-COF (Covalent Organic Framework) as a solid-state redox mediator to successfully decouple the HER and ClOR in acidic conditions. As shown in Fig. 13d, coupling with ClOR at the anode, the COF-based mediator first undergoes protonation. Subsequently, it deprotonates to couple with HER at the cathode. This spatial and temporal isolation of the production of H2 and high-value Cl2 circumvents the use of costly and fragile PEM, demonstrating promising compatibility with seawater. Regrettably, the solid-state redox mediators potentially suffer from limited capacity and rate, necessitating regeneration in the batch process.282 In this regard, the soluble redox mediators have emerged. As shown in Fig. 13e, Rothschild's group proposed a bromide/bromate (Br−/BrO3−) redox couple to facilitate H2 and O2 production in separate electrolytic and catalytic cells.283
In this novel cell configuration, the BrO3− migrates from the electrolytic cell to the catalytic cell, where it is catalyzed to bromide and subsequently moves back to the electrolytic cell. More ingeniously, the cathode coated with a semipermeable thin layer of chromium hydroxide (Cr(OH)3) could prevent the reduction of BrO3−, sustaining the HER activity. Despite the merits of the DWE system, the inherent characteristics of discrete water electrolysis, such as two subprocesses in separate cells or sequentially in different stages, increase the complexity of electrolyzer development. More adversely, only a few DWE systems with larger stacks can achieve ampere-level current density, impeding the cost-competitive prospects as compared to conventional electrolyzers.282 The lower energy efficiency induced by excess voltage might be a warning for researchers to reconsider the suitable redox mediators for large-scale implementation.284,285
5. Pathway of DIWE: from lab to industry
To date, numerous studies have been reported on green H2 production, with particular emphasis on DIWE technology. However, the majority of those works prioritize the development of highly active catalysts or the optimization of a single device component. Such a narrow focus on individual components has overshadowed the equally vital importance of coherent industrial-scale process integration. Therefore, bridging the gap between textbook knowledge and industrial deployment remains far from complete. In this section, we identify requirements for device components (e.g., electrocatalysts, membranes, electrolyzers) at an industrial scale. Electrolysis system integration and synergistic optimization for realizing full-chain improvement are emphasized in real-world application scenarios.
5.1. Gap between lab findings and industrial application
In the laboratory, the traditional membraneless and H-type electrolyzers with limited catalytic areas (1 cm−2) are usually employed for feasibility verification. The most frequently used metrics are the overpotentials at a certain current density (e.g., 10 mA cm−2) to evaluate the activity of the as-prepared catalysts. Ultrapure water (18.2 MΩ cm) is used to prepare simulated seawater by adding defined chemicals, such as sodium chloride (NaCl) solutions.269 Optimal catalyst formulations are selected based on the criteria of minimal overpotential or maximal stable operating time. Unfortunately, lab findings can hardly be applied to direct industrial implementation. As shown in Fig. 14a, a broad range of impure water sources, including tap water, wastewater from municipal, industrial, and agricultural sources, natural seawater, etc., interfere with device components. Practical hurdles, involving scaling, fouling, and upkeep, remarkably impede large-scale applications. For example, Xie's group presented a scaled floating platform under a fluctuating ocean environment.113 This pilot system, based on their previously reported phase-transition strategy, showcased an electrolysis capacity of 6 kW, a hydrogen production rate of 1.2 Nm3 h−1, an energy consumption of 5 kWh Nm−3 H2, a high purity of H2 (99.99%), and a stable operating time of 240 h in Xinghua Bay. However, contamination and wetting of the membrane were discovered during long-term operation. The attachment of microorganisms or scaling significantly degraded the water migration ability, aggravating membrane aging and increasing subsequent upkeep costs.204
 |
| | Fig. 14 Schematic illustration of the pathway from lab to industry. (a) Impurity-induced interplay on each device component. (b) Three stages of market demand: now to 2030, 2030–2040, and after 2040. (c) What is actually required for industrial applications: system integration and synergistic optimization for realizing performance improvement across the full chain in real-world application scenarios. | |
Additionally, cationic species exhibit a stronger thermodynamic affinity to PFSA than protons, thus resulting in coordination with sulfonate groups (–SO3−, PFSA functional groups) and replacing protons through ion exchange, eventually diminishing proton conduction through the membrane.286 More critically, as only protons are consumed for HER, cations would accumulate with a concentration gradient at the cathode. The applied electric potential must drive those cations against the concentration gradient, thus raising the membrane potential needed for ion transport. Collectively, these factors increase the cell resistance and jeopardize the stability of the electrolyzer. To mitigate the undesired impact of cationic impurities, Ren's group proposed the approach of acidifying reclaimed water (RW) to boost proton availability for RW electrolysis. The excess protons were evidenced to facilitate the proton migration and suppress cation interference. Stable operation was demonstrated for 300 h at 150 mA cm−2. This acidification step eliminated multi-stage RW pre-treatment, cutting costs by 46.9% and energy intensity by 61.8%. Analogously, Ling's group proposed a local pH-regulated PEM electrolyzer that delivered durable operation in untreated tap water for more than 3000 h at 1000 mA cm−2, on par with pure-water-fed PEM systems. Local acidity provided by Brønsted acid oxides shields the membrane from cationic impurities. This local pH-regulated PEM electrolyser is projected to lower the levelized cost of hydrogen (LCOH) by 0.3–8.19%, corresponding to annual savings of roughly US$42
000–321
000.88
Apart from complicated impurity-induced interplay, operation at industrial-level current densities (above 500 mA cm−2) with long-term durability tests (above 1000–5000 h) are often ignored in the lab-scale stage. When the best-performing sample, selected based on the lab metrics, is scaled to stack level, non-uniform gradients of physical fields, such as temperature, pressure, voltage, current density, etc., would instigate system failure. This breakdown might not only be rooted in catalyst deactivation, but also in knock-on effects among device components. More seriously, the complicated real-world conditions (e.g., fluctuating power input) can potentially provoke local pH changes and the alteration of the interfacial concentration of reactants or intermediates. Those intricate external factors further impose difficulties in the diagnosis of specific components.
Market-oriented research and development (R&D) further represents the golden key to unlocking the pathway toward industrial-scale implementation. Driven by clean hydrogen policies worldwide, the blueprint of market demand has been depicted as shown in Fig. 14b. In the short term, from now to 2030, the H2 feedstock would be mainly supplied for the chemical industry, such as fertilizers and petrochemicals. According to Hydrogen Europe's strategic innovation, the goals of lowering H2 costs to less than €3 kg−1 by 2030 have been established by the research agenda.52 In the medium term, from 2030 to 2040, the extended demand for energy carriers (e.g., transport and power storage) is expected to be a new growth point with more economic competitiveness than conventional energy. After 2040, aside from a wide range of application scenarios, the prosperity of the H2 economy is anticipated to facilitate the net-zero targets by 2050.97 Therefore, the transition from lab findings to industrial application is a complex system-level engineering challenge. Based on impurity-induced interplay and market-oriented R&D, industrial-scale application necessitates suitable device components for stable operation under real-world conditions.
5.2. Requirements for device components
At the lab stage, tons of studies concentrate on the development of novel electrocatalysts. However, despite effective strategies as summarized in Section 3 and Table S1 (SI), assembling electrocatalysts into industrial-scale electrolysis systems is still confronted with several challenges. Micro-nano structures are subject to vigorous bubble scouring under high current densities, which may lead to material detachment. Such dynamic interfacial evolution should be fully considered when exploring strategies for performance enhancement. Interface micromechanisms obtained in simulated impure electrolytes (e.g., NaCl solutions mimicking natural seawater) can hardly be extrapolated to practical conditions, because other coexisting impurities can potentially affect the active sites. More adversely, non-uniform contact interfaces, derived from the large-scale electrode fabrication process, would affect electron transport and ohmic resistance. Therefore, industrial-level evaluation should be performed from laboratory conditions to realistic environments.
Equally important as electrocatalysts, membranes are commonly used to separate the anode and cathode. However, membrane breakdown, induced by complicated impurities, poses a significant threat to the whole electrolysis system. During the long-term operation in harsh conditions, the risk of membrane swelling and fouling is remarkably enhanced, triggering the penetration of ionic impurities. In particular, ionic impurities and microorganisms present in natural seawater can markedly degrade membrane durability. The inherent defects of membranes, originating from the large-scale manufacturing process, could further induce the permeation, thereby compromising ion selectivity. Accordingly, to improve the anti-fouling and mechanical properties of membranes, it is imperative to regulate the structure of ion transport channels and the interaction of polymer chains to block impurities. More importantly, apart from modifying membrane materials, optimizing the large-scale fabrication process of advanced membranes is also essential to secure their functional performance.
To expedite the industrial application progress of DIWE, the development of electrolyzers should primarily rely on the improvements to mature technologies, such as PEMWE, AWE, and AEMWE. Analogously, design considerations regarding plate corrosion, flow fields, and reactors should be tailored for long-term operation in harsh environments. Specifically, halide ions (Cl−, Br−, F−) impose destructive effects on catalysts and membranes, while also severely corroding electrolyzers. As discussed in Section 2, porous transport layers and bipolar plates, made of Ti-based materials, are susceptible to F− corrosion in the acid medium. Moreover, in situ-generated impurities around the reaction microenvironment, involving metal hydroxide precipitates or detached metal catalyst particles, represent a potential threat by blocking flow channels. Concurrently, the application of other novel functional electrolyzers, as discussed in Section 4.2, is still far from large-scale commercialization, necessitating the enhancement of electrolysis efficiency and operating durability. From a long-term perspective, the current kW- or MW-scale electrolyzers are hard to exert a substantial influence on climate change, thus requiring continuous deployments to reach the TW scale.96,287 However, the scale-up of electrolyzers and related accessories is plagued by non-uniform gradients in temperature, pressure, voltage, and current densities, etc. Consequently, the scale-oriented development of device components should be emphasized. Coupled with experimental validation, computer-aided numerical simulation enables the optimization of electrolyzer geometric dimensions, flow channel configurations, and physical field regulation in terms of temperature, pressure, voltage, and current density.288
5.3. System integration and synergistic optimization
To facilitate large-scale industrial deployment, as shown in Fig. 14c, system integration and synergistic optimization should be emphasized throughout the entire process, circumventing overemphasis on a single component or process. In particular, the Cl−-induced lattice oxygen mechanism has recently been reported for enhancing seawater oxidation reaction.230 However, as the concentration of Cl− goes up with continuous consumption of water, device components would inevitably be corroded during long-term operation. Despite significant performance improvements of electrocatalysts via this Cl− mediated strategy, potential corrosion issues in the whole electrolysis system should not be ignored. Also, to enhance the corrosion resistance of electrodes, additional modification of electrocatalysts is usually performed in the bench-scale stage. When operating under industrial-scale conditions, some protective layers of the modified electrocatalysts are vulnerable to damage and may detach from the electrode. Those in situ-generated impurities pose a risk of deteriorating the membrane durability and blocking the flow channels of bipolar plates. Therefore, impurity-driven interactions do not merely occur within a single component of the device when conducting system integration. Further synergistic optimization for realizing full-chain improvement is still required to fully de-risk the DIWE technology.
A more challenging task is to strike an optimal trade-off between cost reduction and performance enhancement. Notably, electrocatalyst modification, as discussed in Section 3, usually requires an extra cost to prevent corrosion issues in harsh environments. Meanwhile, thinner membranes with reduced PFSA usage are conducive to achieving high current densities and lowering material costs.97 However, thinner membranes are usually susceptible to degradation and possess unsatisfactory durability. Besides, the noble metal catalysts can potentially be avoided in the AWE or AEMWE system as compared to PEMWE. Conversely, PEMWE can achieve higher current densities, a rapid response time, and more integrated balance of plants. Furthermore, the cost of environmental remediation is often overlooked during the DIWE process. Due to the insufficient salt concentration in natural seawater, alkaline seawater electrolysis serves as a commonly used strategy to mitigate limited ionic conductivity. Nevertheless, the use of strong alkaline electrolytes on offshore platforms presents substantial risks not only of the corrosion of device components but also to marine ecosystems in the event of electrolyte leakage into the ocean. Also, the salting-out effect would be intensified with the continuous consumption of water. Leaving this risk unaddressed would significantly impair environmental sustainability and long-term operational stability, thus incurring extra costs for solid and liquid waste disposal. Consequently, to identify a Pareto-optimal state enabling high-efficiency operation of electrolysis systems, trade-offs between competing factors should be carefully taken into account.
6. Conclusions and outlook
6.1. Overall review
Unlike studies centered on lab-based investigations with limited attention to market relevance, advances in the DIWE were systematically explored in this review. The merits of DIWE were first summarized as compared to the HPWE and indirect IWE technologies. Meanwhile, the potential impurity-induced challenges were introduced for a selected list of representative impurities. The easily overlooked interfacial dynamic evolution, provoked by the power fluctuations or intricate real-world conditions, was also mentioned. Based on the aforementioned challenges, more detailed reviews of the scenario-oriented electrocatalyst design and function-oriented electrolyzer development were comprehensively presented. Our analysis spans typical bottleneck issues toward cathodic precipitation and side reactions at the anode. Additionally, we underscored the threat of high-potential dissolution to the durability of catalysts. Given the abundant organic impurities existing in certain wastewater sources, the thermodynamically favorable anodic oxidation of small molecules was further emphasized to replace the sluggish OER for energy-saving. Aside from developing catalysts toward various scenarios, the conventional membrane-based electrolyzers and corresponding novel functional cell configurations were also elucidated. Ultimately, building upon our proven track record in both academia and industry, we provided systematic guidance on integrating impure water electrolysis into existing industrial workflows. What sets this review apart from others is that it delivers a multidimensional perspective, highlighting the impurity-induced interplay among components for collaboratively achieving industrial-scale DIWE.
6.2. Future outlooks
Developing DIWE exhibits immense potential to advance prospects for sustainable green hydrogen production, thereby driving a transformative shift in the global energy paradigm amid ongoing climate change. However, numerous persistent challenges remain alongside emerging opportunities, projecting our gaze towards several untapped directions. Specifically, clarifying complex interactions triggered by impurities stands as the core priority. System-level process integration and long-term durability evaluation under realistic operating conditions should be further prioritized in pilot-scale trials. Ultimately, integrated process technical packages can be established to underpin subsequent technical iteration and upgrading. Techno-economic analysis (TEA), life cycle assessment (LCA), and environmental impact assessment (EIA) are indispensable before large-scale application.289 Collectively, achieving long-term service lifespan over 25 years under current densities exceeding 2000 mA cm−2 is a promising goal in the future. As illustrated in Fig. 15, standardization and conformity certification, autonomous fault diagnosis, intelligent operational maintenance, and efficient impurity utilization also provide vital supplementary directions to speed up the deployment of DIWE.
 |
| | Fig. 15 Schematic illustration of the future outlook roadmap. The synergistic optimization that drives full-chain advancement from laboratory research and pilot-scale verification to large-scale industrial deployment underpins its future development. Beyond core device components, standardization and conformity evaluation, autonomous fault diagnosis, intelligent maintenance, and impurity resource utilization are also pivotal to the industrial implementation of DIWE technology. | |
6.2.1. Standardization and conformity assessment. Despite encouraging progress, the current studies on DIWE technology involve different protocols of pre-treatments and performance evaluation, rendering it challenging to compare the performance of device components across studies. For instance, the majority of experimental data from the laboratory are acquired by using simulated seawater (∼0.5 M NaCl solutions), which is vastly distinct from natural seawater with complex impurities. Meanwhile, harsh marine environments, including salt fog and UV irradiation, are commonly neglected, thereby impeding the scale-up from laboratory settings to real-world applications. Low-cost and high-efficiency pre-treatment processes are anticipated to mitigate the interference of impurities. The impact of fluctuating power input on the electrolysis system should also be comprehensively uncovered. Additionally, some studies solely rely on the comparison of the adsorption energy of key intermediates to assess OER selectivity toward ClOR among various structural models. The dearth of solid experimental evidence from online product analysis (e.g., faradaic efficiency of Cl2 or ClO−) precludes the establishment of high-fidelity structure-selectivity databases. Accordingly, formulating standardized protocols across the entire process, including reasonable theoretical modelling, electrolyte composition, electrolyzers, benchmark catalysts, and testing parameters, is essential for the precise and quantitative evaluation, thus facilitating the performance comparison and obtaining reliable results.
6.2.2. Autonomous diagnosis and intelligent maintenance. From the perspective of long-term operation, aspects including safety, efficiency, and reliability constitute requirements for de-risking. The system-level integration encompasses electrolysis cells and the corresponding complementary devices, such as renewable power systems, gas purification and storage systems, etc. When dealing with such a large system, real-time monitoring by manual intervention alone is not feasible. Therefore, operating parameters or available descriptors are needed to accurately track the simultaneous processes and interactions occurring across different scales, spanning from micro-nano scale interfacial dynamic evolution and mesoscale mass transfer to macroscale multiphysics interplay. Specifically, embracing advanced characterization techniques, such as operando spectroscopy and electron microscopy, creates the possibility of understanding the degradation mechanism caused by impurities around reaction microenvironments, involving morphological evolution, key intermediate adsorption–desorption, and bubble behaviors. More importantly, online product analysis plays a crucial role in detecting fluctuations in faradaic efficiency (e.g., Cl2 or ClO−) over long-term operation. Various sensors are also indispensable for monitoring the variation of temperature and pressure, as well as unexpected pipe leakage and pump failure. Benefiting from the superior capability of deciphering complex multiparametric issues, ML is well-suited to facilitate autonomous diagnosis and intelligent maintenance. This data-driven approach relies on high-fidelity databases compiled from massive amounts of data collected during long-term operation.
6.2.3. Utilization of impurities. Driven by the imperative of cost reduction, H2 production integrated with impurity valorization for fuels and high-value chemicals has attracted widespread research attention. Recent studies have demonstrated the efficient utilization of ionic impurities to synthesize high-value products, including the recovery of magnesium hydroxide (Mg(OH)2) and chlorine gas (Cl2), as well as the extraction of lithium (Li) and uranium (U) from seawater and wastewater.290,291 Such promising co-production routes call for a rationally designed integrated system. Meanwhile, it is critical to optimize the energy consumption of these complex systems and improve the purity of diversified products. A commonly overlooked issue lies in the disposal of solid and liquid wastes generated during the co-production process. Furthermore, dissolved inorganic carbon and non-ionic impurities such as dissolved organic contaminants in seawater also possess great potential for recovery and reutilization.292–294 Apart from developing strategies to mitigate the adverse effects brought by impurities, exploring their positive regulatory effects is equally vital to modulate interfacial reactions and thereby boost catalytic activity, operational stability, and reaction selectivity. In summary, although existing technologies are not yet mature enough to enable large-scale industrial deployment of DIWE, sustained research efforts and interdisciplinary collaboration among researchers and engineers will undoubtedly accelerate relevant technological innovations.
Author contributions
Jichao Zhang: He designed the overall structure of this review; wrote the original draft, prepared the abstract and introduction, and provided comprehensive revision and oversight of the entire manuscript. He communicated with groups from industry and academia. Jianrui Feng, Wei Liu, Longxiang Liu, Wei Zong, Jiexin Zhu, Ruwei Chen, Hongzhen He, Mingqiang Liu, Wei Zhang: They assisted in the drafting of Chapters 2, 3, 4, and revised relevant figures; Daojin Zhou: He assisted in writing the Introduction, Chapter 2, 3, and 4. He contributed to the overall revision, editing, and supervision. Hongtao Wang: He assisted in writing the Introduction and Chapter 5 and contributed to the overall revision, editing, and supervision. Faze Chen, Ivan P. Parkin, Xiaoming Sun, Guanjie He: They assisted in writing the Introduction and contributed to the overall revision, editing, supervision of work, as well as the finalization of the manuscript, academic verification, and communication coordination.
Conflicts of interest
There are no conflicts to declare.
Data availability
No primary research results, software or code have been included and no new data was generated or analyzed as part of this review.
Acknowledgements
The authors would like to thank the Engineering and Physical Sciences Research Council (EPSRC, EP/V027433/3), UK Research and Innovation (UKRI) under the UK Government's Horizon Europe funding (101077226; EP/Y008707/1), EPSRC Centre for Doctoral Training in Molecular Modelling and Materials Science (EP/L015862/1), and the Royal Society (RGS\R1\211080; IEC\NSFC\201261), the National Natural Science Foundation of China (22539001), the National Key Research and Development Program of China (2023YFB4005100), and the Beijing Nova Program for funding support. We also thank Huibing Liu, Dequan Fan, Yang Yang, Yanpeng Zhang, and Shengzhong Zhang from SINOPEC for their valuable insights regarding impure water electrolysis for this review.
References
- X. Wu, J. Meng, X. Liang, L. Sun, D. Coffman, A. Kontoleon and D. Guan, Nature, 2025, 647, 93–101 CrossRef CAS PubMed.
- Z. Deng, B. Zhu, S. J. Davis, P. Ciais, D. Guan, P. Gong and Z. Liu, Nat. Rev. Earth Environ., 2025, 6, 231–233 CrossRef.
- J. Meckling, Nature, 2025, 645, 869–876 CrossRef CAS PubMed.
- R. Chen, Y. Zhong, P. Jiang, H. Tang, F. Guo, Y. Dai, J. Chen, J. Wang, J. Liu, S. Wei, W. Zhang, W. Zong, F. Zhao, J. Zhang, Z. Guo, X. Wang and G. He, Adv. Mater., 2025, 37, 2412790 CrossRef CAS.
- X. Zou, M. Tang, Q. Lu, Y. Wang, Z. Shao and L. An, Energy Environ. Sci., 2024, 17, 386–424 RSC.
- Y. He, W. Shang and P. Tan, Chem. Catal., 2024, 4, 101023 CAS.
- G. Luderer, S. Madeddu, L. Merfort, F. Ueckerdt, M. Pehl, R. Pietzcker, M. Rottoli, F. Schreyer, N. Bauer, L. Baumstark, C. Bertram, A. Dirnaichner, F. Humpenöder, A. Levesque, A. Popp, R. Rodrigues, J. Strefler and E. Kriegler, Nat. Energy, 2021, 7, 32–42 CrossRef.
- S. An, Z.-H. Zhao, J. Bu, J. He, W. Ma, J. Lin, R. Bai, L. Shang and J. Zhang, Angew. Chem., Int. Ed., 2024, 63, e202318989 CrossRef CAS PubMed.
- J. Li, J. Lin, J. Wang, X. Lu, C. P. Nielsen, M. B. McElroy, Y. Song, J. Song, X. Lyu, M. Yu, S. Wu and Z. Yu, Nat. Energy, 2025, 10, 762–773 CrossRef.
- A. M. Oliveira, R. R. Beswick and Y. Yan, Curr. Opin. Chem. Eng., 2021, 33, 100701 CrossRef.
- H. Tüysüz, Acc. Chem. Res., 2024, 57, 558–567 Search PubMed.
- S. Shiva Kumar and H. Lim, Energy Rep., 2022, 8, 13793–13813 CrossRef.
- Y. Wang, Y. Xue and A. Züttel, Chem. Soc. Rev., 2024, 53, 972–1003 RSC.
- N. Johnson, M. Liebreich, D. M. Kammen, P. Ekins, R. McKenna and I. Staffell, Nat. Rev. Clean Technol., 2025, 1, 351–371 CrossRef.
- Z. Ouyang, R. B. Jackson, M. Saunois, J. G. Canadell, Y. Zhao, C. Morfopoulos, P. B. Krummel, P. K. Patra, G. P. Peters, F. Dennison, T. Gasser, A. T. Archibald, V. Arora, G. Baudoin, N. Chandra, P. Ciais, S. J. Davis, S. Feron, F. Guo, D. Hauglustaine, C. D. Jones, M. W. Jones, E. Kato, D. Kennedy, J. Knauer, S. Lienert, D. Lombardozzi, J. R. Melton, J. E. M. S. Nabel, M. O’Sullivan, G. Pétron, B. Poulter, J. Rogelj, D. Sandoval Calle, P. Smith, P. Suntharalingam, H. Tian, C. Wang and A. Wiltshire, Nature, 2025, 648, 616–624 CrossRef CAS PubMed.
- Z.-Y. Yu, Y. Duan, X.-Y. Feng, X. Yu, M.-R. Gao and S.-H. Yu, Adv. Mater., 2021, 33, 2007100 CrossRef CAS.
- F. Ueckerdt, C. Bauer, A. Dirnaichner, J. Everall, R. Sacchi and G. Luderer, Nat. Clim. Change, 2021, 11, 384–393 CrossRef CAS.
- O. Faye, J. Szpunar and U. Eduok, Int. J. Hydrogen Energy, 2022, 47, 13771–13802 CrossRef CAS.
- M. Wappler, D. Unguder, X. Lu, H. Ohlmeyer, H. Teschke and W. Lueke, Int. J. Hydrogen Energy, 2022, 47, 33551–33570 CrossRef CAS.
- Y. Li, Y. Wang, J. Wu, S. Gao, B. Zhu, J. Wang, J. Zhao, L. Wu, L. Zheng and X. Zhang, Chem. Eng. Sci., 2024, 291, 119906 CrossRef CAS.
- F. V. Maziviero, D. M. A. Melo, R. L. B. A. Medeiros, J. C. A. Silva, T. R. Araújo, Â. A. S. Oliveira, Y. K. R. O. Silva and M. A. F. Melo, J. Energy Inst., 2024, 113, 101523 CrossRef CAS.
- W. Li, J. Zhang and W. Wang, Coord. Chem. Rev., 2024, 503, 215638 CrossRef CAS.
- B. Zhang, Y. Li, R. Zhang, G. Liu, Z. Sun, B. Yang and Z. Wu, Chem. Eng. Sci., 2024, 292, 120026 CrossRef CAS.
- R. Yang, X. Che, B. Deng and Y. Lin, Int. J. Hydrogen Energy, 2024, 61, 238–250 CrossRef CAS.
- S. Jiao, X. Fu, S. Wang and Y. Zhao, Energy Environ. Sci., 2021, 14, 1722–1770 RSC.
- T. Terlouw, C. Bauer, R. McKenna and M. Mazzotti, Energy Environ. Sci., 2022, 15, 3583–3602 RSC.
- H. Zhao and Z.-Y. Yuan, Adv. Energy Mater., 2023, 13, 2300254 CrossRef CAS.
- V. S. Thoi, Y. Sun, J. R. Long and C. J. Chang, Chem. Soc. Rev., 2013, 42, 2388–2400 RSC.
- H. Lee, B. Choe, B. Lee, J. Gu, H.-S. Cho, W. Won and H. Lim, J. Cleaner Prod., 2022, 377, 134210 CrossRef CAS.
- D. Chen, H. Bai, J. Zhu, C. Wu, H. Zhao, D. Wu, J. Jiao, P. Ji and S. Mu, Adv. Energy Mater., 2023, 13, 2300499 CrossRef CAS.
- H. Jiang, M. Sun, S. Wu, B. Huang, C.-S. Lee and W. Zhang, Adv. Funct. Mater., 2021, 31, 2104951 CrossRef CAS.
- M. Wang, H. Dai and Q. Yang, Angew. Chem., Int. Ed., 2023, 62, e202309929 CrossRef CAS PubMed.
- S. Zhang, P. Zhao, F. Wang, H. Basma, F. Rodriguez, T. J. Wallington, G. A. Keoleian and Y. Wu, Nat. Rev. Clean Technol., 2025, 1, 846–860 CrossRef.
- A. Devlin, J. Kossen, H. Goldie-Jones and A. Yang, Nat. Commun., 2023, 14, 2578 CrossRef CAS.
- F. B. Juangsa, A. S. Cezeliano, P. S. Darmanto and M. Aziz, S. Afr. J. Chem. Eng., 2022, 42, 23–31 Search PubMed.
- N. Guruprasad, J. Van Der Schaaf and M. T. De Groot, J. Power Sources, 2024, 613, 234877 CrossRef CAS.
- C. Rong, Q. Meyer, H. Lu and C. Zhao, Adv. Mater., 2025, 38, e12414 CrossRef PubMed.
- E. Uwadiunor, V. Kotasthane, D. K. Yesudoss, H. Nguyen, E. Pranada, K. Obodo, M. Radovic and A. Djire, Chem. Catal., 2023, 3, 100634 CAS.
- N. Dubouis, D. Aymé-Perrot, D. Degoulange, A. Grimaud and H. Girault, Joule, 2024, 8, 883–898 CrossRef CAS.
- J. Wang, J. Yang, Y. Feng, J. Hua, Z. Chen, M. Liao, J. Zhang and J. Qin, Appl. Energy, 2025, 379, 124936 CrossRef CAS.
- W. Musie and G. Gonfa, Heliyon, 2023, 9, e18685 CrossRef.
- L. Wu, Y. Xu, Q. Wang, X. Zou, Z. Pan, M. K. H. Leung and L. An, Energy Environ. Sci., 2025, 18, 4596–4624 RSC.
- A. Getirana, N. Kumar Biswas, S. Kumar, W. Nie, S. Ahmad, F. Maina, N. Sakib, M. S. Hossain and R. K. Biswas, Nat. Sustainability, 2025, 8, 914–924 CrossRef.
- S. Hou, J. Huo, X. Zhao, X. Wang, X. Zhang, D. Zhao, M. R. Tillotson, Y. Shan, M. Flörke, W. Guo, J. Meng and K. Hubacek, Nat. Water, 2025, 3, 439–448 CrossRef.
- R. Jiang, H. Lu, D. Chen, K. Yang, D. Guan, G. Huang and F. Tian, Nat. Commun., 2025, 16, 8166 CrossRef CAS PubMed.
- D. Macias, B. Bisselink, C. Carmona-Moreno, J.-N. Druon, O. Duteil, E. Garcia-Gorriz, B. Grizzetti, J. Guillen, S. Miladinova, A. Pistocchi, C. Piroddi, L. Polimene, N. Serpetti, A. Stips, I. Trichakis, A. Udias and O. Vigiak, Nat. Commun., 2025, 16, 998–1009 CrossRef CAS PubMed.
- H. Le, K. Key, M. S. Steckler, N. Sazeed, M. Person, A. Bhuiyan, M. R. Khan and K. M. Ahmed, Nat. Commun., 2025, 16, 10740 CrossRef CAS PubMed.
- C. Govoni, L. Zhuo, D. M. Marchioni and M. C. Rulli, Nat. Food, 2025, 6, 954–967 CrossRef CAS PubMed.
- V. P. Ravinandrasana and C. L. E. Franzke, Nat. Commun., 2025, 16, 8281 CrossRef CAS PubMed.
- Y. Wang, F. Ma, H. Wang, A. Tzachor, M. Jiang, K. Fang, S. Liang, B. Zhu, E. G. Hertwich, M. Lenzen, H. Schandl and S. Lutter, Nat. Sustainability, 2025, 8, 1554–1566 CrossRef.
- R. Prieto-Curiel, P. Luengas-Sierra and C. Borja-Vega, Nat. Cities, 2025, 2, 1148–1159 CrossRef.
- H. Becker, J. Murawski, D. V. Shinde, I. E. L. Stephens, G. Hinds and G. Smith, Sustainable Energy Fuels, 2023, 7, 1565–1603 RSC.
- S. Ten Hietbrink, H. Patton, B. Dugan, B. Szymczycha, A. Sen, A. Lepland, J. Knies, J.-H. Kim, N.-C. Chen and W.-L. Hong, Nat. Geosci., 2025, 18, 779–786 CrossRef CAS.
- R.-T. Gao, Z. Gao, N. T. Nguyen, J. Chen, X. Liu, L. Wang and L. Wu, Nat. Sustainability, 2025, 8, 672–681 CrossRef.
- A. Robertson, W. Musial, M. Shields, A. Aubault, M. Ikari and L. Kitzing, Nat. Rev. Clean Technol., 2025, 1, 734–749 CrossRef.
- F. W. Geels and A. D. Andersen, Nat. Sustainability, 2026, 9, 501–508 CrossRef.
- C. Smith and L. Torrente-Murciano, Nat. Chem. Eng., 2025, 2, 261–272 CrossRef CAS PubMed.
- D. Navia Simon and L. Diaz Anadon, Nat. Energy, 2025, 10, 329–341 CrossRef.
- B. Ouyang, R. Huang, P. Chen, T. Zhang, D. Wei, H. Dong, Y. Qing, Y. He, W. Zhang, H. Wang and L. Chai, Angew. Chem., Int. Ed., 2025, 138, e22623 CrossRef.
- X. Jiang, C. Li, Y. Chen, J. Chen, Z. Guo, Q. Zhou, L. Zhu, D. Lin and J. Xu, Nat. Water, 2026, 4, 206–216 CrossRef CAS.
- J. Li, J. W. O’Brien, B. J. Tscharke, C. He, K. M. Shimko, X. Shao, N. Zhai, J. F. Mueller and K. V. Thomas, Nat. Water, 2024, 2, 1166–1177 CrossRef CAS.
- Q. Wu, S. Ji, J. Chen, X.-Q. Tan, W.-J. Ong, R. Du, P. Wang, H. Wang, Y. Qiu, K. Yan, Y. Zhao, W.-W. Zhao, K.-S. Peng, Y.-Y. Chen, S.-F. Hung, L. Zhou, X. Wang, G. Qiu and G. Chen, Nat. Water, 2025, 3, 1291–1302 CrossRef CAS.
- A. Christou, V. G. Beretsou, I. C. Iakovides, P. Karaolia, C. Michael, T. Benmarhnia, B. Chefetz, E. Donner, B. M. Gawlik, Y. Lee, T. T. Lim, L. Lundy, R. Maffettone, L. Rizzo, E. Topp and D. Fatta-Kassinos, Nat. Rev. Earth Environ., 2024, 5, 504–521 CrossRef CAS.
- J. Zhu, X. Hu, J. Feng, H. He, X. Gao, Z. Lin, H. Dong, G. He and I. P. Parkin, Cell Rep. Phys. Sci., 2026, 7, 103045 CrossRef CAS.
- Y. Zhao, Y. Zhang, Y. Wei, J. Chen, L. Fan, J. Chen, S. Xi, M. Luo, L. Shen and L. Wang, Chem Catal., 2026, 6, 101573 CAS.
- J.-T. Ren, L. Chen and Z.-Y. Yuan, Mater. Today, 2025, 86, 282–316 CrossRef CAS.
- F.-Y. Gao, P.-C. Yu and M.-R. Gao, Curr. Opin. Chem. Eng., 2022, 36, 100827 CrossRef.
- R. Lu, B. Wang, L. Li, Z. Bao, B. Li, Q. Du and K. Jiao, Sci. Bull., 2026, 71, 172–195 CrossRef CAS PubMed.
- L. Huang, D. Bao, Y. Jiang, K. Regenauer-Lieb, Y. Zheng and S.-Z. Qiao, Natl. Sci. Rev., 2025, 12, nwaf461 CrossRef CAS PubMed.
- X. Hu, S. Cheng, U. Farooq, I. Ul Islam and X. Wang, Angew. Chem., Int. Ed., 2025, 64, e202505094 CrossRef CAS PubMed.
- B. Liu, C. Yang, X. Huang, Y. Pan, C. Cheng, W. Guo, L. Liang, Z. Wang and F. He, Nat. Commun., 2025, 16, 10963 CrossRef CAS PubMed.
- J. Zhang, J. Zhu, L. Kang, Q. Zhang, L. Liu, F. Guo, K. Li, J. Feng, L. Xia, L. Lv, W. Zong, P. R. Shearing, D. J. L. Brett, I. P. Parkin, X. Song, L. Mai and G. He, Energy Environ. Sci., 2023, 16, 6015–6025 RSC.
- J. Zhang, X. Song, L. Kang, J. Zhu, L. Liu, Q. Zhang, D. J. L. Brett, P. R. Shearing, L. Mai, I. P. Parkin and G. He, Chem Catal., 2022, 2, 3254–3270 CAS.
- F. Ribalet, S. Dutkiewicz, E. Monier and E. V. Armbrust, Nat. Microbiol., 2025, 10, 2441–2453 CrossRef CAS PubMed.
- X. Cao, S. Chen, Y. Liu, G. Long and Y. J. Xu, Nat. Commun., 2025, 16, 7522 CrossRef CAS PubMed.
- S. Zhang, P. Li, Q. Hu, Y. Xue, Y. Wu, H. Huang, Y.-X. Zhang, Z. Ya, T. Tan, J. Liu and Z. Niu, Adv. Mater., 2025, 37, e08428 CrossRef CAS PubMed.
- X. Sun, R. B. Araujo, E. C. Dos Santos, Y. Sang, H. Liu and X. Yu, Chem. Soc. Rev., 2024, 53, 7392–7425 RSC.
- Y. Wang, Z. Shi, M. Luo, Y. Zhai, C. Jing, L. Ding, S. Dai, K.-G. Zhou, L. Li, S. Li, J. Luo, Y. Zhao, W. Wu, Z. Lu, L. Lan, W. Li, Y. Wei and H. Wang, Nat. Commun., 2025, 16, 10005 CrossRef CAS PubMed.
- S. Yu, Y. Chen, Z. Qiao and J. Hou, Chem. Soc. Rev., 2026, 55, 2229–2264 RSC.
- K. Qi, L. Gao, X. Li and F. He, Catalysts, 2023, 13, 855 CrossRef CAS.
- M. G. O’Connell, N. Rajendran, M. Elimelech, J. Gilron and J. B. Dunn, Nat. Water, 2024, 2, 1116–1127 CrossRef.
- H. Liu, X. Sun, F.-Y. Gao, Y. Zheng and S.-Z. Qiao, Nat. Catal., 2026, 9, 9–17 CrossRef CAS.
- S. Zhao, C. Jiang, J. Fan, S. Hong, P. Mei, R. Yao, Y. Liu, S. Zhang, H. Li, H. Zhang, C. Sun, Z. Guo, P. Shao, Y. Zhu, J. Zhang, L. Guo, Y. Ma, J. Zhang, X. Feng, F. Wang, H. Wu and B. Wang, Nat. Mater., 2021, 20, 1551–1558 CrossRef CAS PubMed.
- J. Zhao, Y. Zhang, Y. Ye, Q. Xu, S. Luo, F. Meng, S. Zhu, X. Li, X. Lin, A. Yu, X. Ren, T. Wu and Z. J. Xu, Nat. Commun., 2025, 16, 5601 CrossRef PubMed.
- J. Zhang, X. Fu, S. Kwon, K. Chen, X. Liu, J. Yang, H. Sun, Y. Wang, T. Uchiyama, Y. Uchimoto, S. Li, Y. Li, X. Fan, G. Chen, F. Xia, J. Wu, Y. Li, Q. Yue, L. Qiao, D. Su, H. Zhou, W. A. Goddard and Y. Kang, Science, 2025, 387, 48–55 CrossRef CAS PubMed.
- R. Ram, L. Xia, H. Benzidi, A. Guha, V. Golovanova, A. Garzón Manjón, D. Llorens Rauret, P. Sanz Berman, M. Dimitropoulos, B. Mundet, E. Pastor, V. Celorrio, C. A. Mesa, A. M. Das, A. Pinilla-Sánchez, S. Giménez, J. Arbiol, N. López and F. P. García de Arquer, Science, 2024, 384, 1373–1380 CrossRef CAS PubMed.
- Y. Zhao, P. Yin, Y. Yang, R. Wang, C. Gong, J. Li, J. Guo, Q. Wang and T. Ling, Angew. Chem., Int. Ed., 2025, 64, e202419501 CrossRef CAS PubMed.
- R. Wang, Y. Yang, J. Guo, Q. Zhang, F. Cao, Y. Wang, L. Han and T. Ling, Nat. Energy, 2025, 10, 880–889 CrossRef CAS.
- J. Guo, Y. Zheng, Z. Hu, C. Zheng, J. Mao, K. Du, M. Jaroniec, S.-Z. Qiao and T. Ling, Nat. Energy, 2023, 8, 264–272 CAS.
- L. Yu, M. Ning, Y. Wang, C. Yuan and Z. Ren, Nat. Rev. Mater., 2025, 10, 857–873 CrossRef.
- S. Park, Y. H. Lee, S. Choi, H. Seo, M. Y. Lee, M. Balamurugan and K. T. Nam, Energy Environ. Sci., 2020, 13, 2310–2340 RSC.
- Z. Zhou, Z. Pei, L. Wei, S. Zhao, X. Jian and Y. Chen, Energy Environ. Sci., 2020, 13, 3185–3206 RSC.
- J. Yu, B.-Q. Li, C.-X. Zhao and Q. Zhang, Energy Environ. Sci., 2020, 13, 3253–3268 RSC.
- J. Huang, B. Hu, J. Meng, T. Meng, W. Liu, Y. Guan, L. Jin and X. Zhang, Energy Environ. Sci., 2024, 17, 1007–1045 RSC.
- L. Wu, Q. Wang, W. Li, M. Tang and L. An, Mater. Rep.: Energy, 2025, 5, 100356 CAS.
- M. A. Riaz, P. Trogadas, D. Aymé-Perrot, C. Sachs, N. Dubouis, H. Girault and M.-O. Coppens, Energy Environ. Sci., 2025, 18, 5190–5214 RSC.
- A. Karl, E. Jodat, H. Kungl, L. Dobrenizki, G. Schmid, P. Geskes and R.-A. Eichel, Electrochem. Sci. Adv., 2025, 5, e202400041 CrossRef CAS.
- World enters era of ‘global water bankruptcy’ | UN news, https://news.un.org/en/story/2026/01/1166800, (accessed January 22, 2026).
- C. R. Wang, J. M. Stansberry, R. Mukundan, H.-M. J. Chang, D. Kulkarni, A. M. Park, A. B. Plymill, N. M. Firas, C. P. Liu, J. T. Lang, J. K. Lee, N. E. Tolouei, Y. Morimoto, C. Wang, G. Zhu, J. Brouwer, P. Atanassov, C. B. Capuano, C. Mittelsteadt, X. Peng and I. V. Zenyuk, Chem. Rev., 2025, 125, 1257–1302 CrossRef CAS PubMed.
- G. A. Lindquist, Q. Xu, S. Z. Oener and S. W. Boettcher, Joule, 2020, 4, 2549–2561 CrossRef CAS.
- H. Qazi, D. Chauhan and Y.-H. Ahn, Int. J. Hydrogen Energy, 2025, 99, 155–164 CrossRef CAS.
- M. Carmo, D. L. Fritz, J. Mergel and D. Stolten, Int. J. Hydrogen Energy, 2013, 38, 4901–4934 CrossRef CAS.
- M. A. Khan, T. Al-Attas, S. Roy, M. M. Rahman, N. Ghaffour, V. Thangadurai, S. Larter, J. Hu, P. M. Ajayan and M. G. Kibria, Energy Environ. Sci., 2021, 14, 4831–4839 RSC.
- J. Lei, H. Zhang, J. Pan, Y. Zhuo, A. Chen, W. Chen, Z. Yang, K. Feng, L. Li, B. Wang, L. Jiao and K. Jiao, Energies, 2024, 17, 2447 CrossRef CAS.
- X. Liu, S. Shanbhag, T. V. Bartholomew, J. F. Whitacre and M. S. Mauter, ACS ES&T Eng., 2021, 1, 261–273 Search PubMed.
- S. He, T. Zhu, Y. Wang, W. Xiong, X. Gao and E. Zhang, Environ. Sci.: Water Res. Technol., 2024, 10, 2313–2340 RSC.
- M. Tauk, G. Folaranmi, M. Cretin, M. Bechelany, P. Sistat, C. Zhang and F. Zaviska, J. Environ. Chem. Eng., 2023, 11, 111368 CrossRef CAS.
- J. N. Hausmann, L. R. Winter, M. A. Khan, M. Elimelech, M. G. Kibria, T. Sontheimer and P. W. Menezes, Joule, 2024, 8, 2436–2442 CrossRef.
- J. Liang, Z. Cai, Z. Li, Y. Yao, Y. Luo, S. Sun, D. Zheng, Q. Liu, X. Sun and B. Tang, Nat. Commun., 2024, 15, 2950 CrossRef CAS PubMed.
- X. He, Y. Yao, L. Zhang, H. Wang, H. Tang, W. Jiang, Y. Ren, J. Nan, Y. Luo, T. Wu, F. Luo, B. Tang and X. Sun, Nat. Commun., 2025, 16, 4998 CrossRef CAS PubMed.
- L. Yi, C. Chen, Y. Wen, S. Zhang, H. Chen, J. Zhu, J. Weng, W. Zhang, W. Xu, W. Guan, X. Chen, T. Qiu, X. Tian and Z. Lu, Nat. Commun., 2025, 16, 11493 CrossRef CAS PubMed.
- Q. Sha, S. Wang, L. Yan, Y. Feng, Z. Zhang, S. Li, X. Guo, T. Li, H. Li, Z. Zhuang, D. Zhou, B. Liu and X. Sun, Nature, 2025, 639, 360–367 CrossRef CAS PubMed.
- T. Liu, Z. Zhao, W. Tang, Y. Chen, C. Lan, L. Zhu, W. Jiang, Y. Wu, Y. Wang, Z. Yang, D. Yang, Q. Wang, L. Luo, T. Liu and H. Xie, Nat. Commun., 2024, 15, 5305 CrossRef CAS PubMed.
- Z. Zhu, S. Ma, H. Mao, J. Zhong, L. Guo, D. Wang, J. Huang, C. Miao, X. Zhang, X. Zhang and D. Zhang, Appl. Energy, 2025, 398, 126413 CrossRef.
- O. Schmidt, A. Gambhir, I. Staffell, A. Hawkes, J. Nelson and S. Few, Int. J. Hydrogen Energy, 2017, 42, 30470–30492 CrossRef CAS.
- J. Brauns and T. Turek, Processes, 2020, 8, 248 CrossRef CAS.
- S. Barwe, B. Mei, J. Masa, W. Schuhmann and E. Ventosa, Nano Energy, 2018, 53, 763–768 CrossRef CAS.
- Y. Jin, P. Behrens, A. Tukker and L. Scherer, Renew. Sustain. Energy Rev., 2019, 115, 109391 CrossRef.
- L. Du, J. Jiang, G. Zhou, Y. Yan, R. S. Kingsbury, A. Y. Ku and Z. J. Ren, Water Res., 2026, 288, 124672 CrossRef CAS PubMed.
- R. Yuan, C. Liao, L. Cao, D. Li, S. Sun, G. Wang, G. Li, J. Xie and Z. Shao, Adv. Funct. Mater., 2026, 36, e08413 CrossRef CAS.
- L. Wu, W. L. Ong and G. W. Ho, ACS Nano, 2025, 19, 10779–10795 CrossRef CAS PubMed.
- R. Wang, K. Yang, C. Wong, H. Aguirre-Villegas, R. Larson, F. Brushett, M. Qin and S. Jin, Nat. Sustainability, 2023, 7, 179–190 CrossRef.
- M. Farghali, Z. Chen, A. I. Osman, I. M. Ali, D. Hassan, I. Ihara, D. W. Rooney and P.-S. Yap, Environ. Chem. Lett., 2024, 22, 2699–2751 CrossRef CAS.
- L. Babcock-Jackson, T. Konovalova, J. P. Krogman, R. Bird and L. L. Díaz, J. Agric. Food Chem., 2023, 71, 8265–8296 CrossRef CAS PubMed.
- S. Vaishnav, T. Saini, A. Chauhan, G. K. Gaur, R. Tiwari, T. Dutt and A. Tarafdar, Bioresour. Technol., 2023, 382, 129170 CrossRef CAS PubMed.
- C. Hou, H. Wu, Z. Zhou, S. Peng, K. Wu, Y. Wang, L. Xu, Z. Chen, Z. Lei and D. Wu, Water Res., 2025, 268, 122589 CrossRef CAS PubMed.
- G. Qu, Z. Yuan, C. Zhao, G. Liu, K. Xiang, Y. Yang and J. Li, Waste Biomass Valorization, 2025, 16, 1015–1043 CrossRef CAS.
- W. Xiong, M. Yang, J. Wang, H. Wang, P. Zhao, Z. Li, B. Liu, X. Kong, H. Duan and Y. Zhao, Chem. Eng. Sci., 2023, 279, 118928 CrossRef CAS.
- P. Sahu, A. R. Patel, A. Pandey, M. Hait and G. K. Patra, Inorg. Chim. Acta, 2025, 585, 122751 CrossRef CAS.
- T. E. Oladimeji, M. Oyedemi, M. E. Emetere, O. Agboola, J. B. Adeoye and O. A. Odunlami, Heliyon, 2024, 10, e40370 CrossRef CAS PubMed.
- N. A. A. Qasem, R. H. Mohammed and D. U. Lawal, npj Clean Water, 2021, 4, 36 CrossRef CAS.
- S. Rajoria, M. Vashishtha and V. K. Sangal, Chem. Eng. Process Tech, 2023, 8, 1082 Search PubMed.
- T. Lim, H. Ooka, Y. Yu, T. Murakami, S. Wada and R. Nakamura, Nat. Chem., 2025, 18, 552–560 CrossRef PubMed.
- J. Zaffran, M. B. Stevens, C. D. M. Trang, M. Nagli, M. Shehadeh, S. W. Boettcher and M. Caspary Toroker, Chem. Mater., 2017, 29, 4761–4767 CrossRef CAS.
- M. Maril, J.-L. Delplancke, C. Salvo, S. Hevia, T. Alvear and C. Carrasco, J. Electroanal. Chem., 2024, 967, 118422 CrossRef CAS.
- E. C. La Plante, X. Chen, S. Bustillos, A. Bouissonnie, T. Traynor, D. Jassby, L. Corsini, D. A. Simonetti and G. N. Sant, ACS ES&T Eng., 2023, 3, 955–968 Search PubMed.
- S. Feng, Y. Yu, C. Wang, P. Ling, T. Wang, W. Shi, J. Li, X. Han, D. Wu, Z. Kang, Y. Yuan and X. Tian, Chem Catal., 2025, 5, 101551 Search PubMed.
- H. Hu, X. Wang, J. P. Attfield and M. Yang, Chem. Soc. Rev., 2024, 53, 163–203 RSC.
- A. Malek, Y. Xue and X. Lu, Angew. Chem., Int. Ed., 2023, 62, e202309854 CrossRef CAS PubMed.
- Z. Li, Y. Yao, S. Sun, J. Liang, S. Hong, H. Zhang, C. Yang, X. Zhang, Z. Cai, J. Li, Y. Ren, Y. Luo, D. Zheng, X. He, Q. Liu, Y. Wang, F. Gong, X. Sun and B. Tang, Angew. Chem., Int. Ed., 2024, 63, e202316522 CrossRef CAS PubMed.
- Y. Kuang, M. J. Kenney, Y. Meng, W.-H. Hung, Y. Liu, J. E. Huang, R. Prasanna, P. Li, Y. Li, L. Wang, M.-C. Lin, M. D. McGehee, X. Sun and H. Dai, Proc. Natl. Acad. Sci. U. S. A., 2019, 116, 6624–6629 CrossRef CAS PubMed.
- X.-L. Zhang, P.-C. Yu, S.-P. Sun, L. Shi, P.-P. Yang, Z.-Z. Wu, L.-P. Chi, Y.-R. Zheng and M.-R. Gao, Nat. Commun., 2024, 15, 9462 CrossRef CAS PubMed.
- K. Hongsirikarn, J. G. Goodwin, S. Greenway and S. Creager, J. Power Sources, 2010, 195, 30–38 CrossRef CAS.
- K. Hongsirikarn, T. Napapruekchart, X. Mo and J. G. Goodwin, J. Power Sources, 2011, 196, 644–651 CrossRef CAS.
- R. Kuwertz, C. Kirstein, T. Turek and U. Kunz, J. Membr. Sci., 2016, 500, 225–235 CrossRef CAS.
- M. B. Stevens, C. D. M. Trang, L. J. Enman, J. Deng and S. W. Boettcher, J. Am. Chem. Soc., 2017, 139, 11361–11364 CrossRef CAS PubMed.
- K. Kawashima, R. A. Márquez-Montes, H. Li, K. Shin, C. L. Cao, K. M. Vo, Y. J. Son, B. R. Wygant, A. Chunangad, D. H. Youn, G. Henkelman, V. H. Ramos-Sánchez and C. B. Mullins, Mater. Adv., 2021, 2, 2299–2309 RSC.
- A. Kusoglu and A. Z. Weber, Chem. Rev., 2017, 117, 987–1104 CrossRef CAS PubMed.
- Y. Zhang, G. Guo, H. Wu, Y. Mu, P. Liu, J. Liu and C. Zhang, Sci. Total Environ., 2019, 692, 82–88 CrossRef CAS PubMed.
- N. Ahmad, M. Usman, H. R. Ahmad, M. Sabir, Z. U. R. Farooqi and M. T. Shehzad, Environ. Monit. Assess., 2023, 195, 1326 CrossRef CAS PubMed.
- G. He, L. Zhao, K. Chen, Y. Liu and H. Zhu, Talanta, 2013, 106, 73–78 CrossRef CAS PubMed.
- H. Amar, M. Benzaazoua, A. Elghali, R. Hakkou and Y. Taha, J. Cleaner Prod., 2022, 381, 135151 CrossRef CAS.
- Z. Xu, Z. Chen, S. Peng, S. Bai, X. Li, G. Wang, R. Zheng and B.-J. Ni, J. Environ. Chem. Eng., 2025, 13, 117695 CrossRef CAS.
- Z. Xu, Y. Zhang, N. J. D. Graham, S. J. Parikh, X. Xu, X. Cao, Y. S. Ok, S. M. Shaheen, J. Rinklebe and D. C. W. Tsang, Commun. Mater., 2025, 6, 47–56 CrossRef CAS.
- A. Di Corcia, L. Capuani, F. Casassa, A. Marcomini and R. Samperi, Environ. Sci. Technol., 1999, 33, 4119–4125 CrossRef CAS.
- H. Eslami, M. R. Samaei, E. Shahsavani and A. A. Ebrahimi, Desalin. Water Treat., 2017, 92, 128–133 CrossRef CAS.
- Y. Luo, X. Jin, H. Xie, X. Ji, Y. Liu, C. Guo, J. P. Giesy and J. Xu, J. Environ. Manage., 2023, 342, 118344 CrossRef CAS PubMed.
- S. Dresp, T. N. Thanh, M. Klingenhof, S. Brückner, P. Hauke and P. Strasser, Energy Environ. Sci., 2020, 13, 1725–1729 RSC.
- S. Zhang, Y. Wang, S. Li, Z. Wang, H. Chen, L. Yi, X. Chen, Q. Yang, W. Xu, A. Wang and Z. Lu, Nat. Commun., 2023, 14, 4822 CrossRef CAS PubMed.
- W. Tong, M. Forster, F. Dionigi, S. Dresp, R. Sadeghi Erami, P. Strasser, A. J. Cowan and P. Farràs, Nat. Energy, 2020, 5, 367–377 CrossRef CAS.
- T. Ma, W. Xu, B. Li, X. Chen, J. Zhao, S. Wan, K. Jiang, S. Zhang, Z. Wang, Z. Tian, Z. Lu and L. Chen, Angew. Chem., Int. Ed., 2021, 60, 22740–22744 CrossRef CAS PubMed.
- F. Gossenberger, F. Juarez and A. Groß, Front. Chem., 2020, 8, 634 CrossRef CAS PubMed.
- A. Kolics and A. Wieckowski, J. Phys. Chem. B, 2001, 105, 2588–2595 CrossRef CAS.
- A. Ganassin, V. Colic, J. Tymoczko, A. S. Bandarenka and W. Schuhmann, Phys. Chem. Chem. Phys., 2015, 17, 8349–8355 RSC.
- X. Sun, W. Shen, H. Liu, P. Xi, M. Jaroniec, Y. Zheng and S.-Z. Qiao, Nat. Commun., 2024, 15, 10351 CrossRef CAS PubMed.
- R. Fan, C. Liu, Z. Li, H. Huang, J. Feng, Z. Li and Z. Zou, Nat. Sustainability, 2024, 7, 158–167 CrossRef.
- W. Liu, J. Yu, M. G. Sendeku, T. Li, W. Gao, G. Yang, Y. Kuang and X. Sun, Angew. Chem., Int. Ed., 2023, 62, e202309882 CrossRef CAS PubMed.
- H. Liao, T. Luo, P. Tan, K. Chen, L. Lu, Y. Liu, M. Liu and J. Pan, Adv. Funct. Mater., 2021, 31, 2102772 CrossRef CAS.
- Y. Yu, W. Zhou, J. Yuan, X. Zhou, X. Meng, X. Zhang, X. Li, N. Xue, Y. Chen, X. Xia, M. Gu, J. Chen, X. Wang, F. Sun, J. Gao and G. Zhao, Energy Environ. Sci., 2025, 18, 9949–9958 RSC.
- J. Cheng, W. Liu, S. Chen, Y. Zhang, A. Cao, Y. Zhang, Z. Shen, Y. Yang, Y. Zhang, Y. Li, D. Zhou and X. Sun, Angew. Chem., Int. Ed., 2025, 64, e18106 CrossRef CAS PubMed.
- N. T. Thomas and K. Nobe, J. Electrochem. Soc., 1969, 116, 1748 CrossRef CAS.
- Z. B. Wang, H. X. Hu, C. B. Liu and Y. G. Zheng, Electrochim. Acta, 2014, 135, 526–535 CrossRef CAS.
- D.-S. Kong and Y.-Y. Feng, J. Electrochem. Soc., 2009, 156, C283 CrossRef CAS.
- D.-S. Kong, Langmuir, 2008, 24, 5324–5331 CrossRef CAS PubMed.
- A. Onal, I. Kahveci and M. Soylak, Asian J. Chem., 2004, 16, 445–452 Search PubMed.
- M. Seyedsalehi, O. Paladino, G. Hodaifa, M. Sillanpää, K. Gurung, M. Sahafnia and H. Barzanouni, Int. J. Environ. Sci.
Technol., 2019, 16, 6763–6772 CrossRef CAS.
- Y. Tan, J. Feng, L. Kang, L. Liu, F. Zhao, S. Zhao, D. J. L. Brett, P. R. Shearing, G. He and I. P. Parkin, Energy Environ. Mater., 2023, 6, e12398 CrossRef CAS.
- Z. Su, Z. Dai, C. Zhou, L. Li, T. Zhou, Z. Man, Y. Wang, Y. Chen, C. Xie, J. Li, J. Bai and B. Zhou, Appl. Catal., B, 2025, 375, 125419 CrossRef CAS.
- T. Smolinka, M. Heinen, Y. X. Chen, Z. Jusys, W. Lehnert and R. J. Behm, Electrochim. Acta, 2005, 50, 5189–5199 CrossRef CAS.
- Y. Li and C. Ning, Bioact. Mater., 2019, 4, 189–195 Search PubMed.
- D. M. Yebra, S. Kiil and K. Dam-Johansen, Prog. Org. Coat., 2004, 50, 75–104 CrossRef CAS.
- H. Jin, J. Wang, L. Tian, M. Gao, J. Zhao and L. Ren, Mater. Des., 2022, 213, 110307 CrossRef CAS.
- M. Maril, J.-L. Delplancke, N. Cisternas, P. Tobosque, Y. Maril and C. Carrasco, Int. J. Hydrogen Energy, 2022, 47, 3532–3549 CrossRef CAS.
- H. Kojima, K. Nagasawa, N. Todoroki, Y. Ito, T. Matsui and R. Nakajima, Int. J. Hydrogen Energy, 2023, 48, 4572–4593 CrossRef CAS.
- Q. Hassan, A. Z. Sameen, H. M. Salman and M. Jaszczur, Energy Harvesting Syst., 2024, 11, 20230011 CrossRef.
- A. Li, H. Ooka, S. Kong, K. Adachi, Y. Zhang, K. Fushimi, S. Hamamoto, M. Oura, S. H. Kim, D. Hashizume and R. Nakamura, Nat. Sustainability, 2025, 8, 1533–1540 CrossRef.
- W. Liu, J. Yu, B. Ding, T. Li, S. Li, X. Guo, L. Zhou, B. Tian, Y. Zhang, Y. Li, M. Ma, K. Wang, H. Xin, D. Zhou, Y. Kuang and X. Sun, Nano Res., 2025, 18, 94907246 CrossRef CAS.
- W.-G. Cui, F. Gao, G. Na, X. Wang, Z. Li, Y. Yang, Z. Niu, Y. Qu, D. Wang and H. Pan, Chem. Soc. Rev., 2024, 53, 10253–10311 RSC.
- L. Xia, B. F. Gomes, W. Jiang, D. Escalera-López, Y. Wang, Y. Hu, A. Y. Faid, K. Wang, T. Chen, K. Zhao, X. Zhang, Y. Zhou, R. Ram, B. Polesso, A. Guha, J. Su, C. M. S. Lobo, M. Haumann, R. Spatschek, S. Sunde, L. Gan, M. Huang, X. Zhou, C. Roth, W. Lehnert, S. Cherevko, L. Gan, F. P. García De Arquer and M. Shviro, Nat. Mater., 2025, 24, 753–761 CrossRef CAS PubMed.
- Z.-P. Wu, S. Zuo, Z. Pei, J. Zhang, L. Zheng, D. Luan, H. Zhang and X. W. (David) Lou, Sci. Adv., 2025, 11, eadu5370 CrossRef CAS PubMed.
- J.-W. Zhao, Y. Li, D. Luan and X. W. (David) Lou, Sci. Adv., 2024, 10, eadq4696 CrossRef CAS PubMed.
- J. Feng, X. Wang and H. Pan, Adv. Mater., 2024, 36, 2411688 CrossRef CAS PubMed.
- Q. Xu, J. Zhang, H. Zhang, L. Zhang, L. Chen, Y. Hu, H. Jiang and C. Li, Energy Environ. Sci., 2021, 14, 5228–5259 RSC.
- J. Zhang, J. Dang, X. Zhu, J. Ma, M. Ouyang and F. Yang, Appl. Catal., B, 2023, 325, 122296 CrossRef CAS.
- X. Zou and Y. Zhang, Chem. Soc. Rev., 2015, 44, 5148–5180 RSC.
- L. Zhao, S. Zhou, Z. Lv, W. Xu, J. Liu, Z. Liu, Q. Zhang, J. Lai and L. Wang, Appl. Catal., B, 2023, 338, 122996 CrossRef CAS.
- D. Bao, L. Huang, Y. Gao, K. Davey, Y. Zheng and S.-Z. Qiao, J. Am. Chem. Soc., 2024, 146, 34711–34719 CrossRef CAS PubMed.
- L. Yi, X. Chen, Y. Wen, H. Chen, S. Zhang, H. Yang, W. Li, L. Zhou, B. Xu, W. Xu, W. Guan, S. Dai and Z. Lu, Nano Lett., 2024, 24, 5920–5928 CrossRef CAS PubMed.
- Y. Zhu, W. Duan, Z. Huang, L. Tian, W. Wu, Z. Dang and C. Feng, Environ. Sci. Technol., 2024, 58, 13145–13156 CrossRef CAS PubMed.
- L. Ventimiglia, F. Vassallo, G. Lo Burgio, A. Campione, L. Cammilli, P. Vicario, G. Battaglia, F. Vicari, A. Cipollina, A. Tamburini and G. Micale, Desalination, 2025, 613, 119052 CrossRef CAS.
- J. Tang, Q. Zeng, Q. Jiang, H. Wang, S. Hu, Y. Ji, H. Zeng, C. Liu, H.-J. Peng, X. Li, T. Zheng, C.-W. Pao, X. Liu and C. Xia, Chem. Catal., 2025, 5, 101441 CAS.
- F. Dionigi, T. Reier, Z. Pawolek, M. Gliech and P. Strasser, ChemSusChem, 2016, 9, 962–972 CrossRef CAS PubMed.
- A. G. Rajan and E. A. Carter, Energy Environ. Sci., 2020, 13, 4962–4976 RSC.
- T. Liu, Z. Zhao, W. Tang, Y. Wu, C. Lan, W. Jiang and H. Xie, Nat. Rev. Clean Technol., 2026, 2, 305–319 CrossRef.
- V. H. Hoa, M. Austeria, H. Thi Dao, M. Mai and D. H. Kim, Appl. Catal., B, 2023, 327, 122467 CrossRef CAS.
- P. Tian, W. Zong, J. Xiong, W. Liu, J. Liu, Y. Dai, J. Zhu, S. Huang, S. Song, K. Chu, G. He and N. Han, Adv. Funct. Mater., 2025, 35, 2504862 CrossRef CAS.
- P. Lu, J. Huo, M. Cui, Y. Dou, W. Li, H.-K. Liu, Z. Bai, S.-X. Dou and R. Ge, Adv. Funct. Mater., 2025, 36, e16798 CrossRef.
- Y. Yu, W. Zhou, X. Zhou, J. Yuan, X. Zhang, X. Meng, F. Sun, J. Gao and G. Zhao, Adv. Funct. Mater., 2025, 35, 2419871 CrossRef CAS.
- C. Huang, Q. Zhou, D. Duan, L. Yu, W. Zhang, Z. Wang, J. Liu, B. Peng, P. An, J. Zhang, L. Li, J. Yu and Y. Yu, Energy Environ. Sci., 2022, 15, 4647–4658 RSC.
- Z. Cai, J. Liang, Z. Li, T. Yan, C. Yang, S. Sun, M. Yue, X. Liu, T. Xie, Y. Wang, T. Li, Y. Luo, D. Zheng, Q. Liu, J. Zhao, X. Sun and B. Tang, Nat. Commun., 2024, 15, 6624 CrossRef CAS PubMed.
- H. Hu, Z. Zhang, L. Liu, X. Che, J. Wang, Y. Zhu, J. P. Attfield and M. Yang, Sci. Adv., 2024, 10, eadn7012 CrossRef CAS PubMed.
- S. Bishwanathan and P. K. Gupta, ACS Appl. Energy Mater., 2024, 7, 5467–5478 CrossRef CAS.
- H. Mao, X. Liu, T. Cui, J. Tang, Z. Su, J. Chi, Y. Chai, Z. Wu and L. Wang, Angew. Chem., Int. Ed., 2025, 64, e202511867 CrossRef CAS PubMed.
- W. Xu, Z. Wang, P. Liu, X. Tang, S. Zhang, H. Chen, Q. Yang, X. Chen, Z. Tian, S. Dai, L. Chen and Z. Lu, Adv. Mater., 2024, 36, 2306062 CrossRef CAS PubMed.
- H. T. Dao, S. Sidra, V. H. Hoa, T. V. Tran, Q. H. Nguyen, P. K. L. Tran, M. Mai, S.-K. Kim, J. Kim and D. H. Kim, Appl. Catal., B, 2026, 386, 126398 CrossRef CAS.
- K. Wan, T. Zhang, H. Wang, S. Liu, C. Xie, R. Gao, Y. Qin, X. Yang, Y. Guo, L. Wang and J. Liu, Innov. Mater., 2025, 3, 100148 CrossRef CAS.
- Z. Shi, Z. Niu, W. Guo, Y. Leng, Y. Chen, H. Li and J. Huang, Adv. Mater., 2026, 38, e13754 CrossRef CAS PubMed.
- H. Chen, R. Ding, Z.-W. Zeng, X.-X. Jia, Y.-C. Zhang, B.-W. Liu, F.-R. Zeng, Y.-Z. Wang and H.-B. Zhao, Adv. Funct. Mater., 2025, 35, 2505802 CrossRef CAS.
- J. G. Vos, T. A. Wezendonk, A. W. Jeremiasse and M. T. M. Koper, J. Am. Chem. Soc., 2018, 140, 10270–10281 CrossRef CAS PubMed.
- D. A. Bushiri, A. F. Baxter, O. Odunjo, D. V. Fraga Alvarez, Y. Yuan, J. G. Chen and D. V. Esposito, ACS Appl. Energy Mater., 2024, 7, 5479–5489 CrossRef CAS.
- A. A. Bhardwaj, J. G. Vos, M. E. S. Beatty, A. F. Baxter, M. T. M. Koper, N. Y. Yip and D. V. Esposito, ACS Catal., 2021, 11, 1316–1330 CrossRef CAS.
- Z. Li, J. Liang, S. Hong, Y. Ren, M. Zhang, S. Sun, Z. Cai, C. Yang, H. Wang, Y. Luo, S. Liu, Y. Yao, F. Gong, X. Sun and B. Tang, Nat. Commun., 2025, 16, 10327 CrossRef CAS PubMed.
- P. Wang, P. Wang, T. Wu, X. Sun and Y. Zhang, Adv. Sci., 2024, 11, 2407892 CrossRef CAS PubMed.
- T. Binninger, R. Mohamed, K. Waltar, E. Fabbri, P. Levecque, R. Kötz and T. J. Schmidt, Sci. Rep., 2015, 5, 12167 CrossRef CAS PubMed.
- N. Akbari, J. H. Shah, C. Hu, S. Nandy, P. Aleshkevych, R. Ge, S. Farid, C. Dong, L. Zhang, K. H. Chae, W. Xie, T. Liu, J. Wang and M. M. Najafpour, Angew. Chem., 2025, 137, e202418798 CrossRef.
- D. Wu, L. Hu, X. Liu, T. Liu, X. Zhu, Q. Luo, H. Zhang, L. Cao, J. Yang, Z. Jiang and T. Yao, Nat. Commun., 2025, 16, 726 CrossRef CAS PubMed.
- G. Li, Y. Li, J. Dong, B. Sun, Z. Liu, J. Zheng and G. Li, Adv. Funct. Mater., 2026, 36, e15680 CrossRef CAS.
- J. Fu, X. Kong, X. Liu, H. Ma, L. Guo, J. Chi, X. Liu and L. Wang, Adv. Funct. Mater., 2025, 36, e23937 CrossRef.
- D. Y. Chung, P. P. Lopes, P. Farinazzo Bergamo Dias Martins, H. He, T. Kawaguchi, P. Zapol, H. You, D. Tripkovic, D. Strmcnik, Y. Zhu, S. Seifert, S. Lee, V. R. Stamenkovic and N. M. Markovic, Nat. Energy, 2020, 5, 222–230 CrossRef.
- Q. Sha, T. Gao, L. Yan, W.-H. Hung, C.-Y. Chiang, D. Zhou, B. Liu, Y. Kuang and X. Sun, J. Am. Chem. Soc., 2025, 147, 20716–20724 CrossRef CAS PubMed.
- H. Liu, W. Shen, H. Jin, J. Xu, P. Xi, J. Dong, Y. Zheng and S.-Z. Qiao, Angew. Chem., Int. Ed., 2023, 62, e202311674 CrossRef CAS PubMed.
- J.-T. Ren, L. Chen, H.-Y. Wang, W.-W. Tian and Z.-Y. Yuan, Energy Environ. Sci., 2024, 17, 49–113 RSC.
- T. Wang, X. Cao and L. Jiao, Angew. Chem., Int. Ed., 2022, 61, e202213328 CrossRef CAS PubMed.
- D. Bao, L. Huang, Y. Zheng and S.-Z. Qiao, ACS Catal., 2025, 15, 14661–14670 CrossRef CAS.
- K. Liu, X. Gao, C.-X. Liu, R. Shi, E. C. M. Tse, F. Liu and Y. Chen, Adv. Energy Mater., 2024, 14, 2304065 CrossRef CAS.
- P. Wang, X. Gao, M. Zheng, M. Jaroniec, Y. Zheng and S.-Z. Qiao, Nat. Commun., 2025, 16, 2424 CrossRef CAS PubMed.
- N. Sarigul, F. Korkmaz and İ. Kurultak, Sci. Rep., 2019, 9, 20159 CrossRef CAS PubMed.
- X. Gao, S. Zhang, P. Wang, M. Jaroniec, Y. Zheng and S.-Z. Qiao, Chem. Soc. Rev., 2024, 53, 1552–1591 RSC.
- X. Gao, J. Hu, S. Zhang, P. Wang, Z. Wang, P. Chen, Y. Zheng and S.-Z. Qiao, Adv. Mater., 2025, 38, e21945 CrossRef PubMed.
- F. Sun, J. Qin, Z. Wang, M. Yu, X. Wu, X. Sun and J. Qiu, Nat. Commun., 2021, 12, 4182 CrossRef CAS PubMed.
- R. Ding, J. Chen, Y. Chen, J. Liu, Y. Bando and X. Wang, Chem. Soc. Rev., 2024, 53, 11390–11461 RSC.
- M. Clapp, C. M. Zalitis and M. Ryan, Catal. Today, 2023, 420, 114140 CrossRef CAS.
- S. Shiva Kumar and V. Himabindu, Mater. Sci. Energy Technol., 2019, 2, 442–454 Search PubMed.
- A. Villagra and P. Millet, Int. J. Hydrogen Energy, 2019, 44, 9708–9717 CrossRef CAS.
- M. Ni, M. K. H. Leung and D. Y. C. Leung, Energy Convers. Manage., 2008, 49, 2748–2756 CrossRef CAS.
- G. Chen, R. Lu, Z. Zhuang, H. Fei, X. Li, X. Zhang, C. Ma, J. Weng, J. Wang, J. Shang, T. Gan, Y. Wang, Z. Wang and Y. Han, Sci. Adv., 2025, 11, eaea4543 CrossRef CAS PubMed.
- J. Li, S. Fu, R. Wang, K. Sun, W. Shi, Y. Zeng and B. Zhang, Nat. Commun., 2025, 16, 9910 CrossRef PubMed.
- A. S. Emam, M. O. Hamdan, B. A. Abu-Nabah and E. Elnajjar, Int. J. Hydrogen Energy, 2024, 64, 599–625 CrossRef CAS.
- Q. Zhang, Y. Hao, H. Chen, J. Li, Y. Zeng, J. Xiong, Y. Cheng, A. Ozden, A. Tricoli and F. Li, Adv. Energy Mater., 2026, 16, e04039 CrossRef CAS.
- M. Schalenbach, W. Lueke and D. Stolten, J. Electrochem. Soc., 2016, 163, F1480–F1488 CrossRef CAS.
- Q. Li, A. Molina Villarino, C. R. Peltier, A. J. Macbeth, Y. Yang, M.-J. Kim, Z. Shi, M. R. Krumov, C. Lei, G. G. Rodríguez-Calero, J. Soto, S.-H. Yu, P. F. Mutolo, L. Xiao, L. Zhuang, D. A. Muller, G. W. Coates, P. Zelenay and H. D. Abruña, J. Phys. Chem. C, 2023, 127, 7901–7912 CrossRef CAS.
- S. Dresp, F. Dionigi, S. Loos, J. Ferreira de Araujo, C. Spöri, M. Gliech, H. Dau and P. Strasser, Adv. Energy Mater., 2018, 8, 1800338 CrossRef.
- G. Prats Vergel, H. Mu, N. Kolobov, J. Biemolt, D. A. Vermaas and T. Burdyny, Nat. Chem. Eng., 2025, 2, 676–684 CrossRef CAS PubMed.
- S. Z. Oener, M. J. Foster and S. W. Boettcher, Science, 2020, 369, 1099–1103 CrossRef CAS PubMed.
- M. A. Blommaert, D. Aili, R. A. Tufa, Q. Li, W. A. Smith and D. A. Vermaas, ACS Energy Lett., 2021, 6, 2539–2548 CrossRef CAS PubMed.
- L. Bi, S. Boulfrad and E. Traversa, Chem. Soc. Rev., 2014, 43, 8255–8270 RSC.
- Y. Zheng, J. Wang, B. Yu, W. Zhang, J. Chen, J. Qiao and J. Zhang, Chem. Soc. Rev., 2017, 46, 1427–1463 RSC.
- A. Hauch, R. Küngas, P. Blennow, A. B. Hansen, J. B. Hansen, B. V. Mathiesen and M. B. Mogensen, Science, 2020, 370, eaba6118 CrossRef CAS PubMed.
- C. K. Lim, Q. Liu, J. Zhou, Q. Sun and S. H. Chan, J. Power Sources, 2017, 342, 79–87 CrossRef CAS.
- R. Rossi, D. M. Hall, L. Shi, N. R. Cross, C. A. Gorski, M. A. Hickner and B. E. Logan, Energy Environ. Sci., 2021, 14, 6041–6049 RSC.
- J. Tang, K. Guo, D. Guan, Y. Hao and Z. Shao, Energy Environ. Sci., 2024, 17, 7394–7402 RSC.
- H. Xie, Z. Zhao, T. Liu, Y. Wu, C. Lan, W. Jiang, L. Zhu, Y. Wang, D. Yang and Z. Shao, Nature, 2022, 612, 673–678 CrossRef CAS PubMed.
- X. Liu, J. Chi, Y. Zhao, R. Huang, H. Zhang, J. Fu, Z. Ren, Y. Han, T. Wei, W. Song, H. Yu and Z. Shao, Adv. Energy Mater., 2025, 15, e03388 CrossRef CAS.
- M. L. Frisch, T. N. Thanh, A. Arinchtein, L. Hager, J. Schmidt, S. Brückner, J. Kerres and P. Strasser, ACS Energy Lett., 2023, 8, 2387–2394 CrossRef CAS.
- H. Liu, Y. Yang, J. Liu, M. Huang, K. Lao, Y. Pan, X. Wang, T. Hu, L. Wen, S. Xu, S. Li, X. Fang, W.-F. Lin, N. Zheng and H. B. Tao, ACS Appl. Mater. Interfaces, 2024, 16, 16408–16417 CrossRef CAS PubMed.
- Y. Feng, Y. Zhu, W. Chen, X. Huang, X. Weng, M. D. Meyer, T.-H. Chen, Y. Liu, Z. He, C.-H. Hou, K. Zuo, N. Y. Yip, K. Gong, J. Lou and Q. Li, Nat. Commun., 2025, 16, 8618 CrossRef CAS PubMed.
- F.-Y. Gao, J. Xu, H. Shen, J.-W. DuanMu, M. Jaroniec, Y. Zheng and S.-Z. Qiao, Nat. Commun., 2025, 16, 11625 CrossRef CAS PubMed.
- L. Zhang, Z. Wang and J. Qiu, Adv. Mater., 2022, 34, 2109321 CrossRef CAS PubMed.
- H. Shi, T. Wang, J. Liu, W. Chen, S. Li, J. Liang, S. Liu, X. Liu, Z. Cai, C. Wang, D. Su, Y. Huang, L. Elbaz and Q. Li, Nat. Commun., 2023, 14, 3934 CrossRef CAS PubMed.
- Y. Lai, K. Xiao, Y. Tian, M. Xing, H. Ding, J. Tan, J. Zhang, Z. Peng, Y. Fan, X. Lu, S. Liang, W. Xue and X. Huang, Nat. Sustainability, 2026, 9, 533–543 CrossRef.
- W. Tang, Z. Zhao, D. Yang, Y. Liu, L. Zhu, Y. Wu, C. Lan, W. Jiang, Y. Wu, T. Liu and H. Xie, Energy Environ. Sci., 2025, 18, 7048–7059 RSC.
- A. Bar, O. Ramon, Y. Cohen and S. Mizrahi, J. Food Eng., 2002, 55, 193–199 CrossRef.
- S. Xu, Z. Zhou, Z. Liu and P. Sharma, Sci. Adv., 2023, 9, eade3240 CrossRef PubMed.
- W. Li, P. N. Lemougna, K. Wang, Y. He, Z. Tong and X. Cui, Ceram. Int., 2017, 43, 14340–14346 CrossRef CAS.
- X. Gao, P. Wang, X. Sun, M. Jaroniec, Y. Zheng and S.-Z. Qiao, Angew. Chem., Int. Ed., 2025, 64, e202417987 CrossRef CAS PubMed.
- J. T. Davis, J. Qi, X. Fan, J. C. Bui and D. V. Esposito, Int. J. Hydrogen Energy, 2018, 43, 1224–1238 CrossRef CAS.
- S. M. H. Hashemi, M. A. Modestino and D. Psaltis, Energy Environ. Sci., 2015, 8, 2003–2009 RSC.
- M. I. Gillespie, F. van der Merwe and R. J. Kriek, J. Power Sources, 2015, 293, 228–235 CrossRef CAS.
- E. A. Toledo-Carrillo, M. García-Rodríguez, L. M. Sánchez-Moren and J. Dutta, Sci. Adv., 2024, 10, eadi3180 CrossRef CAS PubMed.
- X. Yan, J. Biemolt, K. Zhao, Y. Zhao, X. Cao, Y. Yang, X. Wu, G. Rothenberg and N. Yan, Nat. Commun., 2021, 12, 4143 CrossRef CAS PubMed.
- A. Song, S. Mei, X. Jin, Y. Ma and J. Yang, Angew. Chem., Int. Ed., 2025, 64, e19128 CrossRef CAS PubMed.
- G. Ruan, F. Todman, G. Yogev, R. Arad, T. Smolinka, J. O. Jensen, M. D. Symes and A. Rothschild, Nat. Rev. Clean Technol., 2025, 1, 380–395 CrossRef.
- I. Slobodkin, E. Davydova, M. Sananis, A. Breytus and A. Rothschild, Nat. Mater., 2024, 23, 398–405 CrossRef CAS PubMed.
- P. J. McHugh, A. D. Stergiou and M. D. Symes, Adv. Energy Mater., 2020, 10, 2002453 CrossRef CAS.
- Z. P. Ifkovits, J. M. Evans, M. C. Meier, K. M. Papadantonakis and N. S. Lewis, Energy Environ. Sci., 2021, 14, 4740–4759 RSC.
- R. Cui, Z. Zhang, Y. Wang, F. Liu, H. Wang, C. Bi, C. Yu and Y. Zhou, Int. J. Hydrogen Energy, 2024, 50, 635–649 CrossRef CAS.
- J. M. Allwood, Nat. Chem. Eng., 2026, 3, 26–33 CrossRef CAS.
- L. Gao, C. Wang, L. Yang, X. Huo, W. Li and J. Zhang, Chem. Eng. J., 2025, 520, 165784 CrossRef CAS.
- R. Mahmud, S. M. Moni, K. High and M. Carbajales-Dale, J. Cleaner Prod., 2021, 317, 128247 CrossRef.
- M. Yong, M. Tang, L. Sun, F. Xiong, L. Xie, G. Zeng, X. Ren, K. Wang, Y. Cheng, Z. Li, E. Li, X. Zhang and H. Wang, Nat. Sustainability, 2024, 7, 1662–1671 CrossRef.
- X. Wang, H. Hu, J. Liu, J. Hu, C. Han, J. P. Attfield and M. Yang, Adv. Mater., 2025, 37, e08705 CrossRef CAS PubMed.
- J.-C. J. Kalinski, A. K. Pakkir Mohamed Shah, B. Ruiz Brandão Da Costa, S. P. Farrell, L. Schellenberg, L. G. Graves, T. Schramm, P. Stincone, I. Koester, B. M. Stephens, R. R. Torres, L. Cancelada, C. Utermann-Thüsing, Z. A. Quinlan, L. Wegley Kelly, C. A. Carlson, C. Castillo-Ilabaca, S. Pantoja-Gutiérrez, J. M. Beman, A. Hartmann, A. Aron, X. Siwe Noundou, R. A. Dorrington, D. Tasdemir, A. F. Haas, P. C. Dorrestein, C. E. Nelson, L. I. Aluwihare, M. Wang and D. Petras, Nat. Geosci., 2026, 19, 478–487 CrossRef CAS.
- X.-M. Hu, H.-Q. Liang, A. Rosas-Hernández and K. Daasbjerg, Chem. Soc. Rev., 2025, 54, 1216–1250 RSC.
- P. Aleta, A. Refaie, M. Afshari, A. Hassan and M. Rahimi, Energy Environ. Sci., 2023, 16, 4944–4967 RSC.
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