Open Access Article
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Direct conversion of waste CO2 over porous polymer catalysts

Jun-Song Jia a, Ying Liang *b and Ying-Ming Pan *c
aCollege of Chemistry and Environmental Engineering, Key Laboratory of Green Catalysis of Higher Education Institutes of Sichuan, Sichuan University of Science and Engineering, Zigong, 643000, Sichuan, P. R. China
bSchool of Life and Environmental Sciences, Guilin University of Electronic Technology, Guilin 541004, P. R. China. E-mail: liangyi0774@guet.edu.cn
cState Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, School of Chemistry and Pharmaceutical Sciences of Guangxi Normal University, Guilin 541004, P. R. China. E-mail: panym@mailbox.gxnu.edu.cn

Received 23rd June 2025 , Accepted 8th August 2025

First published on 8th August 2025


Abstract

Direct conversion of waste CO2 avoids CO2 capture and lowers the cost of CO2 utilisation; however, this route remains a challenging research topic. Developing catalysts that facilitate the enrichment and conversion of waste CO2 is therefore essential. Porous polymer catalysts offer unique advantages due to their high surface area and tunable functionality. These materials catalyse the conversion of both simulated waste CO2 and CO2 present in industrial waste gases, such as anaerobic fermentation gas, lime kiln waste gas, and coal-fired flue gas. This review summarises recent progress on the direct conversion of waste CO2 using porous polymer catalysts. It analyses the structural features of these catalysts, their CO2 adsorption properties, and the associated catalytic mechanisms. A quantitative comparison of catalytic performance—such as turnover frequency, stability, and CO2 adsorption capacity—is also provided. The findings may support the rational design and synthesis of catalysts for the direct utilisation of waste CO2, and provide parameters for the industrialisation of porous polymer catalysts.


image file: d5sc04590h-p1.tif

Jun-Song Jia

Dr Jun-Song Jia received his bachelor's degree from Mianyang Teachers' College. He received his PhD degree from Guangxi Normal University under the guidance of Profs. Ying-Ming Pan and Hai-Tao Tang. He joined the College of Chemistry and Environmental Engineering at Sichuan University of Science and Engineering as a lecturer in 2023. His current research interests focus on transition-metal catalysis and heterogeneous catalysis.

image file: d5sc04590h-p2.tif

Ying Liang

Ying Liang is a professor at Guilin University of Electronic Technology. Born on September 11, 1975, in China, she received her BSc degree from Central South University in 1997, followed by an MSc degree from Guangxi University in 2000. She obtained her PhD degree from Xiamen University in 2006. Currently, her research focuses on chemical carbon sequestration and the development of environmental monitoring methods and instruments.

image file: d5sc04590h-p3.tif

Ying-Ming Pan

Ying-Ming Pan is a professor at Guangxi Normal University. He was born in Jiangxi, China. He received his BSc degree from Gannan Normal University and MSc degree from Guangxi University (China). He obtained his PhD degree from Xianmen University in 2010. He was awarded the Mingde Teacher Award in 2018. His present research interests focus on electrochemical synthesis and heterogeneous catalysis.


1. Introduction

Owing to the continuous development of the global economy and the emission of industrial waste gases, the concentration of CO2 in the atmosphere has been increasing for centuries.1–3 As a greenhouse gas, CO2 can result in many environmental problems, such as global warming, rising sea levels, the destruction of ecosystems, and extreme weather.4–6 In recent years, the annual emission of CO2 into the atmosphere has reached a concerning level of 3.31 billion tons.7 Therefore, capturing and converting CO2 to reduce its concentration in the atmosphere are urgent tasks.

CO2 is a low-cost, safe, non-toxic, and abundant C1 source.8,9 Its conversion by chemical methods helps reduce CO2 emissions and yields a range of high value-added products, including synthons, fine chemicals, pharmaceuticals, and hydrocarbon fuels.10–13 Many methods have been developed to convert CO2 into bulk chemicals, such as CO, CH3OH, and HCOOH.14,15 CO2 can also be introduced into organic structures through catalysis to synthesise carboxylic acids, esters, and carbonyl compounds.16–19 However, these reactions require pure CO2 and generally convert CO2 under high pressure (Scheme 1A). Currently, the capture of CO2 from industrial waste gas is usually achieved through liquid or solid adsorption, followed by heating and desorption, and then compression and storage.20 Desorption and compression require a large amount of energy, resulting in high costs. For example, the cost of capturing one tonne of CO2 by amine washing is $59.10 for a typical coal-fired power plant.21 Therefore, the steps for capture and storage between CO2 emissions and utilisation must be reduced. If the CO2 in exhaust gas generated by burning fossil fuels is directly utilised, the steps of capture and storage can be eliminated, thereby reducing the cost of CO2 utilisation (Scheme 1B).


image file: d5sc04590h-s1.tif
Scheme 1 Capture and utilisation of waste CO2.

The exhaust gas emitted from industrial production has a low CO2 concentration. For example, flue gas contains CO2 at 10–15 vol%.20 Anaerobic fermentation gas (AFG) typically consists of CH4, CO2, N2, and H2S, with a CO2 concentration in the range of 30–35 vol%.22,23 Waste gas from lime kilns mainly comprises N2, O2, CO2, CO, SO2, H2O, and dust, with a CO2 concentration of 20–42 vol%.24–26 In addition, activated CO2 can be converted into small molecule compounds such as CO and HCOOH.27–29 In catalytic systems that convert CO2 into high value-added products, these small molecule products are often overlooked. Therefore, the direct conversion of waste CO2 faces three challenges: (1) the catalyst must have the capacity for in situ enrichment of low-concentration CO2; (2) the catalyst must accurately identify CO2 in exhaust gases without interference from other gas molecules; and (3) selective conversion of CO2. Hence, a new catalytic system with enrichment and conversion effects for low-concentration CO2 must be developed.

Porous polymer catalysts are a new class of porous materials with the advantages of high specific surface area, diverse pore structures, low skeleton density, and facile functionalisation.30–32 They have become versatile hard ligands and carriers for converting many homogeneous catalysts into heterogeneous nano or single-site active-centre catalysts with unique catalytic activity and stability.33–35 Compared to metal–organic framework (MOF) and covalent organic framework (COF)-based catalysts, polymer catalysts present several advantages: (1) the structure of polymer catalysts is characterised by weak pore uniformity and topological ordering.36–38 The hierarchical pore structure promotes the physical adsorption of CO2. (2) Polymer catalysts are more thermally stable. They are also more stable in water, acid, and base, which broadens their applicability.37,39 (3) After the loading of metal onto polymer catalysts, the metal is distributed on the surface, facilitating its contact with reactants. The metals within MOFs are typically positioned at the core of the crystal structure, reducing the accessibility of the substrate.40,41 In addition, porous polymer catalysts have advantages over non-porous catalytic systems: (1) the porous 3D structure increases the catalyst's surface area and allows more active sites to be loaded per unit volume, increasing the probability of CO2 coming in contact with the catalyst.30,39 (2) The hierarchical pore structure, especially micropores, contributes to CO2 enrichment.42 (3) The swelling properties of porous structures can create a “quasi-homogeneous” catalytic system that accelerates mass transfer and improves catalytic efficiency.43

Porous polymer catalysts include porous organic polymers (POPs), porous ionic liquid polymers (PILs), porous organic ligand polymers (POLs), and hypercrosslinked polymers (HCPs).39 Incorporating active sites that can activate or enrich CO2 into the framework of porous polymers creates an ideal platform for heterogeneous catalytic CO2 conversion. Chemists have reviewed the use of porous catalysts for the conversion of pure CO2. In 2018, Huang, Liu, and co-workers reviewed the design and synthesis progress of POPs for catalytic CO2 conversion.21 The design strategies of these catalysts include nitrogen doping, metallisation, and ionic functionalisation of POPs. In 2022, Wang, Zhou, and co-workers summarised the synthesis of porous PILs and the catalytic details for achieving cycloaddition between pure CO2 and epoxides.42 However, only a few reports are available on the enrichment and conversion of CO2 in exhaust gas catalysed by porous polymers.

In this review, the most recent advances in the design and synthesis of porous polymer catalysts for the conversion of low-concentration CO2 are summarised. The discussion highlights the synthesis strategies of porous polymers with enrichment effects for low CO2 concentration and the accurate identification of CO2 molecules in exhaust gas (simulated exhaust gas). Problems in this field are analysed and future development directions are outlined. This review is divided into two sections: the first addresses simulation of waste CO2, and the second addresses real waste CO2. Within each section, further categorisation distinguishes waste CO2 conversion with metal catalysis from that without metal catalysis.

2. Direct conversion of simulated waste CO2

Simulated waste CO2 gas is prepared by mixing pure CO2 with other gases, such as N2 or air. This mixing process is straightforward and generates a low-concentration CO2 atmosphere under experimental conditions, facilitating the study of simulated waste CO2. Existing reports generally indicate a volume concentration of simulated waste CO2 of 15–20 vol%, which can represent the CO2 concentration in actual exhaust gases, such as flue gas or lime kiln gas.20,24 However, the presence of other gases in waste CO2 gas cannot be fully replicated by simulating the waste CO2 gas alone.

2.1 Direct conversion of simulated waste CO2 involving metals

Porous polymer catalysts used to convert waste CO2 typically contain alkaline sites, which can be loaded with metals to produce metal-loaded porous polymer catalysts. The alkaline sites in these catalysts can alter the electron distribution in CO2, facilitating acid–base reactions and thereby activating CO2.21 Additionally, metals loaded onto the catalyst can effectively activate other reaction substrates. The reaction between CO2 and epoxides to form cyclic carbonates, which achieves 100% atom economy, has received broad attention.44,45 Numerous heterogeneous catalysts have been developed for the reaction of CO2 with epoxides to generate cyclic carbonates; however, these catalysts often have drawbacks, such as harsh reaction conditions, catalyst loss, and the need to add large quantities of soluble cocatalysts.46

Porphyrins are a class of conjugated macrocyclic structures with 18π electron systems, which enable strong interactions with CO2.47 Furthermore, the cavity structure of porphyrin-based polymers can coordinate with metals to facilitate their loading. Therefore, many porphyrin-based porous materials have been used to convert pure CO2. In 2016, Xiao, Meng, and co-workers utilised porphyrin POP loaded with Co3+ to synthesise a heterogeneous catalyst, Co/POM-TPP, which enabled the reaction of low-concentration CO2 (15 vol%) with epichlorohydrin 1 by cycloaddition, yielding cyclic carbonates 2 with a 45.4% conversion rate and 88.7% selectivity (Scheme 2a).48 The catalytic system required the addition of tetrabutylammonium bromide (TBAB) as a cocatalyst. The study found that the activity of the heterogeneous Co/POM-TPP catalyst exceeded that of the corresponding homogeneous Co/TPP catalyst. This difference can be attributed to the strong adsorption capacity of Co/POP-TPP for 15 vol% CO2 (adsorption capacity of 8 cm3 g−1), whereas the nonporous Co/TPP showed negligible CO2 adsorption. Activation of the adsorbed CO2 can be attributed to two factors: the acid–base interaction between nitrogen atoms in porphyrins and CO2, and the strong interaction between the porphyrin π system and CO2. This catalyst can convert low concentrations of CO2 at 1 atm and room temperature, which is relevant for utilising CO2 generated during industrial processes. Although the catalyst successfully enabled the conversion of simulated waste CO2, the product yield remained relatively low.


image file: d5sc04590h-s2.tif
Scheme 2 Co and Mg/porphyrin ligand polymers catalyse the conversion of low-concentration CO2.

In the cycloaddition reaction between epoxides and CO2, it is customary to add metal ions or halide anions, both of which serve to activate the substrate.21 Therefore, the design and synthesis of porous polymer catalysts containing both metal ions and halogen anions will contribute to the conversion of waste CO2. In 2021, Xiao's group continued to investigate and synthesise heterogeneous catalysts with multiple synergistic active sites to address the challenge of adding large quantities of soluble cocatalyst TBAB, as shown in Scheme 2a.46 They prepared a porous organic catalyst, POP–PBnCl–TPPMg-x, containing both Lewis acidic and Lewis basic active sites, by copolymerising different proportions of Mg–porphyrin monomers and phosphonium salt monomers (Scheme 2b). Among these, the catalyst POP–PBnCl–TPPMg-12 catalysed the cycloaddition of 15 vol% CO2 with epoxides to form cyclic carbonates with a 95.1% conversion rate and 73.8% selectivity.

In general, increasing the surface area of polymer catalysts is considered beneficial for enhancing reactant accessibility to active sites.21 However, the results from the Co/POM-TPP and POP-PBnCl-TPPMg-12 studies suggest that the Brunauer–Emmett–Teller (BET) surface area and pore volume are not the determining factors in waste CO2 conversion. Halogen anions integrated onto polymers provide improved cocatalytic effects, likely owing to better dispersion of halogens on the polymer. Additionally, POP–PBnCl–TPPMg-12 does not require cocatalysts and offers a broad range of parameters for converting low-concentration CO2. The use of MeCN as a solvent in the catalytic system significantly increased the cyclic carbonate yield, although the mechanism underlying this enhancement was not explained by the authors.

The disordered hierarchical pore structure is a prominent feature of porous polymer catalysts. Pore structures of varying volumes in polymers may serve different functions in the conversion of waste CO2. In 2016, Yang, Li, and co-workers prepared a hierarchical meso/microporous polymer catalyst containing a 2,2′-bipyridine Zn(II) coordination structure, Bp-Zn@MA (Scheme 3).49 When TBAB was used as a cocatalyst, Bp-Zn@MA catalysed the cycloaddition reaction of simulated flue gas (20 vol% CO2) and epoxide to produce cyclic carbonates 2. The N2 adsorption test showed that the micropore volume of Bp-Zn@MA was 0.002 cm3 g−1, representing 0.198% of the total pore volume. The authors verified, using Henry's law and ideal adsorption solution theory, that Bp-Zn@MA exhibits higher adsorption selectivity for CO2 than N2 in mixed gases. Notably, the micropores and abundant N sites in Bp-Zn@MA show selective adsorption for CO2 in CO2/N2 mixed gases, whereas the role of mesopores is to facilitate the rapid diffusion of reactants and products. Therefore, micropores exert a more pronounced enrichment effect on waste CO2. However, the “division of labour” mechanism between micropores and mesopores in catalysis requires further investigation.


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Scheme 3 Bp-Zn@MA catalyses the conversion of low-concentration CO2.

In parallel, the authors proposed a mechanism for this reaction. The catalytic cycle begins with the coordination of epoxyethane compounds with zinc to produce compound 3. Bromide anions then perform a nucleophilic attack on epoxyethane to generate Zn-coordinated ring-opening intermediate 4, which combines with CO2 to afford zinc carbonate species 5. Finally, the intramolecular cyclisation of zinc carbonate species generates the final product 2 and releases bromide anions and regenerated catalyst Bp-Zn@MA, thus completing the catalytic cycle. In this process, zinc activates epoxides, whereas the activation of CO2 is mainly due to the acid–base interaction between the alkaline N site and CO2. Unfortunately, the reaction conditions are harsh (high temperature and pressure) and not suitable for large-scale catalyst application. In addition, the catalytic efficiency decreases when the reaction is carried out in a mixed gas at atmospheric pressure.

Nitrogen heterocyclic carbene (NHC) ligands contain multiple nitrogen atoms that can interact with the carbon in CO2 to activate it. NHC polymer catalysts also exhibit stronger alkalinity than N-doped polymers, facilitating acid–base interactions with CO2.21 PILs combine the advantages of porous materials, polymers, and ionic liquids, and have shown promise in CO2 fixation by cycloaddition.42 PILs synthesised from NHC ligand polymers demonstrate excellent catalytic performance in the conversion of low-concentration CO2.50–54 In 2024, the Liu group prepared a poly(ionic liquid)@porous carbon nanocomposite (PIL-Brx@Zn-CTM) through the pyrolysis of fluid precursors and in situ polymerisation (Scheme 4).55 PIL-Brx@Zn-CTM contains Lewis acidic (Zn2+) and Lewis basic (N) sites and a nucleophilic anion Br. PIL-Br1.0@Zn-CTM can absorb low concentrations of CO2 and catalyse its reaction with epoxides to produce cyclic carbonates 2. The catalytic system does not require cocatalysts or solvents, making it a green approach. In this heterogeneous catalyst, zinc has strong coordination ability, whereas bromide anions have high nucleophilicity. Therefore, the presence of zinc and bromide anions activates epoxides. In addition to the alkaline NHC and N-doped sites, the strong interaction between the large conjugated structure of carbon nanocomposites and CO2 may also benefit CO2 adsorption and conversion. However, this catalytic reaction requires a high temperature, which limits its industrial application.


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Scheme 4 Poly(ionic liquid)@porous carbon nanocomposites for the capture and in situ conversion of low-concentration CO2.

The process of PIL-Br1.0@Zn-CTM adsorbing and converting low-concentration CO2 is illustrated in Scheme 4. The alkaline N sites on the catalyst surface adsorb and activate low-concentration CO2. Simultaneously, Zn2+ coordinates with the epoxides 1 and induces C–O bond polarisation. The nucleophilic Br attacks the β-C of epoxyethane, which has minimal steric hindrance, to generate the ring-opening intermediate, which undergoes nucleophilic addition with the CO2 adsorbed by the catalyst to form alkyl carbonate compounds. Finally, intramolecular cyclisation occurs to generate the final product 2 and release PIL-Br1.0@Zn-CTM.

Due to the disorder of the polymer structure, its BET surface area, pore volume, and pore size are difficult to control during preparation. The development of methodologies capable of precisely modulating the surface area and pore volume of polymers remains a significant challenge in this field. In 2017, Wang, Zhou, and co-workers described the selective capture and conversion of CO2 from simulated flue gas (15 vol% CO2) under mild conditions using imidazolinium-based porous hypercrosslinked ionic polymers (HIPs) with cocatalyst ZnBr2 (Scheme 5).56 Notably, the authors adjusted the porosity of HIPs by modifying the initial gel composition. The catalytic effect of this heterogeneous catalyst is substantially better than that of homogeneous ionic liquid monomers and post-modified analogues. The halogen anions in HIPs show high nucleophilicity and high leaving ability, which promote the selective adsorption of CO2. Furthermore, the authors propose that HCP exhibits advantages for CO2 capture and utilisation due to its high surface area and narrowly dispersed micropores. The CO2 conversion mechanism is the same as for Scheme 3. In addition to halide anions, the alkalinity of NHCs contributes to CO2 activation. Zn2+ assists in epoxide activation.


image file: d5sc04590h-s5.tif
Scheme 5 HIP-Br-2 catalyses the conversion of low-concentration CO2.

2.2 Direct conversion of simulated waste CO2 without metals

As previously stated, metals and halogens primarily facilitate the activation of epoxides in the conversion of waste CO2. The enrichment and transformation of CO2 depend mainly on the pore structure and alkaline sites of porous polymers. Therefore, within heterogeneous catalytic systems, the reaction between waste CO2 and epoxides can be achieved without the involvement of metals. In 2020, Wang, Zhou, and co-workers prepared HCPs through Friedel–Crafts alkylation and the conjugate crosslinking of benzyl imidazolate and α,α′-dichloro-p-xylene (DCX) (Scheme 6).57 Altering the IL[thin space (1/6-em)]:[thin space (1/6-em)]DCX[thin space (1/6-em)]:[thin space (1/6-em)]FeCl3 ratio changes the BET surface area and total pore volume of the polymer. Notably, the microporous structure and the ionic liquid enhance the enrichment of CO2 at the active sites. At 273 K and 1 bar, the CO2 adsorption capacity of HCP is 3.05 mmol g−1. HCP can achieve the adsorption and conversion of CO2 from simulated flue gas (15 vol% CO2) without additives or solvents, yielding cyclic carbonates with a turnover number (TON) of 4250–4800. However, this catalytic system requires high temperatures and pressures, which limits its industrial application.
image file: d5sc04590h-s6.tif
Scheme 6 HCP catalyses the conversion of low-concentration CO2.

As depicted in Scheme 6, the mechanism of this transformation begins with the formation of hydrogen bonds between the epoxyethane compound 1 and imidazolium salts to afford 6, followed by Br nucleophilic attack on epoxyethane to generate ring-opening products 7. CO2 insertion into O⋯H then produces opening carbonates 8, which undergo nucleophilic attack to form ring-closing products 2 and release the catalysts. It can be inferred from the mechanism that NHC monomers also activate epoxides. However, the mechanisms of CO2 adsorption and activation were not clarified by the authors.

Progress has been made in enriching and converting simulated waste CO2 using porous polymer catalysts. Some catalysts can achieve the conversion of low-concentration CO2 at room temperature, atmospheric pressure, and without co-catalysts, confirming the potential of polymer catalysts for industrial waste CO2 conversion. However, further research is required into the underlying mechanisms of CO2 enrichment by porous polymer catalysts. In addition, the above waste CO2 reactions are carried out in closed reactors. Given the fluidity of industrial waste gases, studying the conversion of CO2 in flowing gases will provide more relevant reference data.

3. Direct conversion of real waste CO2

The flue gas released from industrial production comprises not only waste CO2 but also other gases, including O2, SO2, and NO2. The presence of these other gases may affect the ability of porous polymer catalysts to capture and convert CO2.58 Therefore, the study of polymer catalysts for the identification and conversion of real waste CO2 has greater academic and industrial significance. In this section, we review the progress of research into the enrichment and conversion of real waste CO2 using porous polymer catalysts. The conversion of CO2 is no longer limited to the cycloaddition with epoxides to form cyclic carbonates, but can also generate a wider range of molecules, such as formamide and oxazolidinone.

3.1 Direct conversion of real waste CO2 involving metals

Currently, the enrichment and conversion of CO2 in exhaust gas are mostly conducted in fixed reaction equipment, so the exhaust gas must first be collected. Directly introducing the exhaust gas into the reaction equipment for the continuous conversion of CO2 will simplify the production process. In 2023, Liang's group developed the heterogeneous catalyst Cu@NHC-1 for the continuous conversion of CO2 in lime kiln exhaust gas (30 vol%) using a continuous flow device (Scheme 7).59 They polymerised a bidentate NHC monomer with divinylbenzene (DVB) to obtain NHC-1, which was coordinated with Cu(OAc)2 to form Cu@NHC-1 under alkaline conditions. Without co-catalysts, the cyclisation of propargylamine 9 with CO2 in lime kiln exhaust gas produces oxazolidinones 10. The catalytic system can also achieve gram-scale conversion (15 mmol). As depicted in Scheme 7, the first step in the reaction mechanism is to use the pore effect of the catalyst and the nucleophilic effect of nitrogen to enrich CO2. Meanwhile, propargylamine 9 is captured by the N sites of the catalyst and interacts with the copper centre to form intermediate 11. The activated CO2 and propargylamine are converted by cation 12 into aminoformate intermediate 13, which then undergoes intramolecular cyclisation to form intermediate 14. Lastly, 14 is protonated by cation 12 to yield the final product oxazolidinone 10, regenerating the catalyst Cu@NHC-1. Therefore, the NHC in Cu@NHC-1 activates and enriches CO2, while copper activates propargylamine. However, the authors did not examine the effects of O2, CO, and SO2 on the enrichment of CO2 by the polymer.
image file: d5sc04590h-s7.tif
Scheme 7 Cu@NHC-1 catalyses CO2 conversion in lime kiln waste gas.

As shown in Scheme 8, a continuous flow device introduces 30 vol% CO2 into a heterogeneous catalytic system via bubbling. Under analogous conditions, the continuous flow apparatus achieves a product yield of 96%, whereas the fixed reactor yields 72%. The authors suggest that the observed difference in yield results from more effective contact between the waste CO2, the catalyst, and the substrate in the continuous flow device. This finding highlights the potential application of the catalyst for CO2 enrichment and conversion in industrial waste gas. However, the authors did not explore the mechanism of selective adsorption and enrichment of CO2 in lime kiln exhaust gas by the hierarchical pore structure of the catalyst.


image file: d5sc04590h-s8.tif
Scheme 8 Schematic diagram of the bubbling device for continuous gas flow.

Increasing the number of NHC and metal sites in the monomer enhances the probability of CO2 contacting active sites, thereby improving the conversion efficiency. In 2023, Liang, Pan and co-workers synthesised the nanocatalyst Ag@POP-NL-3 by pre-coordination and polymerisation of a tridentate NHC monomer with AgNO3 (Scheme 9).60 Coordinating before polymerising ensures uniform distribution of Ag on POL-NL-3 and improves catalytic efficiency. The hierarchical pore structure and abundant nitrogen sites of the catalyst guarantee the adsorption and conversion of CO2. Using Ag@POP-NL-3 as the heterogeneous catalyst and 0.6 equivalent of DBU as an additive, CO2 (30 vol%) in lime kiln waste gas reacts with propargyl alcohol 15 to form cyclic carbonates 16. Raman spectroscopy detected the stretching vibration (1183 cm−1) and antisymmetric stretching (2211 cm−1) of the N–CO2 structure. This result confirms the adsorption and activation of CO2 by N species within the polymer.


image file: d5sc04590h-s9.tif
Scheme 9 Ag@POP-NL-3 catalyses CO2 conversion in lime kiln waste gas.

Following the addition of Ag@POP-NL-3 to propargylic alcohol, the 1H nuclear magnetic resonance absorption peak signal of propargylic alcohol decreased, indicating that Ag@POP-NL-3 exerts an adsorption effect on the substrate. The mechanism of this reaction is shown in Scheme 9. First, the hierarchical pore structure and abundant nitrogen sites of the catalyst enrich the low-concentration CO2 to a locally high concentration. DBU and propargylic alcohol 15 then interact through hydrogen bonding, and Ag coordinates with C[triple bond, length as m-dash]C to form intermediate 17. The oxygen atom of propargylic alcohol attacks CO2, inserting CO2 and providing intermediate 18 while releasing DBU-H+19. Intermediate 18 undergoes intramolecular cyclisation with carbonate and C[triple bond, length as m-dash]C to form intermediate 20, followed by reaction with 19 to produce cyclic carbonate 16. Through controlled experiments, the authors demonstrated that DBU activates propargylic alcohol. It is speculated that, as an organic base, DBU may also activate CO2. Therefore, exploring the catalytic effect of DBU on this reaction in the absence of polymer catalysts would improve the accuracy of the proposed mechanism.

The addition of nitrogen-containing components and co-polymerisation with NHC monomers can effectively increase the alkaline nitrogen sites in the polymer. In 2024, Pan, Liang and co-workers added copolymer allyl aniline to the bidentate NHC ligand to synthesise polymer POP-6 with abundant nitrogen sites, and then loaded it with Ag2O to form POP-6@Ag2O (Scheme 10).61 This polymer catalyst enables the cyclisation between CO2 in coal-fired flue gas (8 vol%) and propargylamides 21 to produce oxazolidine-2,4-diones 22. The amine groups in the polymer selectively absorb CO2 from coal-fired flue gas, and imidazole and silver nanoparticles activate CO2 and propargylamides.


image file: d5sc04590h-s10.tif
Scheme 10 POP-6@Ag2O catalyses CO2 conversion in coal-fired flue gas.

The mechanism of POP-6@Ag2O adsorbing and converting waste CO2 is shown in Scheme 10. The CO2 in coal-fired flue gas is first adsorbed in the hierarchical pores of the polymer and then onto the amino group. The CO2 adsorbed by the amine group is transferred to the carbene nitrogen for activation. The nitrogen in propargylamine attacks activated CO2, and Ag activates alkynes. Finally, intermediate 23 undergoes intramolecular cyclisation to generate the target product 22. The enrichment and activation of waste CO2 with a concentration below 10 vol% in the presence of other gases is a challenging process. The hierarchical porous structure of polymer catalysts facilitates the enrichment of CO2 and other gases. Therefore, the selectivity of polymers towards waste CO2 is predominantly attributed to the interaction between the alkaline sites of the polymer and CO2. Notably, the stronger alkalinity of aliphatic amines compared to aromatic amines means that integrating alkyl amines into polymer catalysts could improve their ability to enrich and activate waste CO2.

More importantly, the authors demonstrated through controlled experiments that neither SO2 nor NO2 affects the cyclisation reaction. This reaction is unaffected by SO2, NOX and volatile organic compounds in actual coal-fired flue gas. Therefore, it can be deduced that the presence of other gases in the mixed gas does not affect the catalytic performance of the polymer catalyst. However, the efficiency of the polymer catalyst may decrease as the reaction progresses if the metal loaded on it is sensitive to water and oxygen.

Compared with the two-component reaction involving waste CO2, the three-component reaction is more challenging. In 2025, Pan, Liang and co-workers copolymerised a six-membered NHC monomer with DVB to generate POP-1, which was then loaded with Pd(PPh3)4 to form the catalyst POP-1-Pd (Scheme 11).62 At 298.15 K, the CO2 adsorption capacity of POP-1-Pd is 11.62 m3 g−1. Under the action of NaOtBu, POP-1-Pd catalyses a three-component reaction of CO2 from lime kiln exhaust gas with propargylamine 9 and aryl iodide 24 to produce oxazolidinone 25. When NHC[thin space (1/6-em)]:[thin space (1/6-em)]DVB = 1[thin space (1/6-em)]:[thin space (1/6-em)]4, the catalyst has the best effect on CO2 adsorption and conversion. This finding indicates that the specific surface area of the catalyst has a significant effect on the utilisation of CO2. Moreover, this catalytic system can be applied to the gram-level synthesis of oxazolidinone (100 vol% CO2, 1.72 g).


image file: d5sc04590h-s11.tif
Scheme 11 POP-1-Pd catalyses CO2 conversion in lime kiln exhaust gas.

CO2 is enriched near the catalytic sites through the adsorption of imidazolium salts. In parallel, Pd0 undergoes oxidative addition with aryl iodide 24 and coordinates with the C[triple bond, length as m-dash]C of propargylamine 9 to form intermediate 26. CO2 is then integrated into intermediate 27via the imidazole structure. The N in propargylamine attacks CO2 to produce intermediate 28, which undergoes intramolecular cyclisation to generate intermediate 29. Finally, 29 undergoes reductive elimination to yield the desired product 25 and regenerate the catalyst. The hierarchical pores of POP-1-Pd provide a microenvironment with increased concentration after adsorbing CO2 and substrates. According to the mechanism proposed by the authors, NHC adsorbs and activates waste CO2, while palladium activates iodobenzene and propargylamine. There is no direct interaction between palladium and CO2. Furthermore, the addition of stoichiometric strong base NaOtBu renders the reaction conditions harsh.

Interestingly, the anions in the imidazole polymer can be exchanged with other anions, thereby enhancing the ability of the polymer to enrich and convert waste CO2. In 2025, Pan, Liang and co-workers developed an Ag@POP-HCO3 catalysed reaction of propargylamine 30 with CO2 in coal-fired flue gas (8 vol%), producing oxazolidinones 31 (Scheme 12).63 Ag@NHC–HCO3 can be obtained by modifying the Ag@NHC ligand with HCO3, which enhances the catalyst's ability to adsorb CO2. The specific surface area and micropore volume of the catalyst can be controlled by changing the NHC[thin space (1/6-em)]:[thin space (1/6-em)]HCO3[thin space (1/6-em)]:[thin space (1/6-em)]DVB ratio. Moreover, the authors designed simulated flue gas with different SO2 and NO2 contents. Subsequent controlled experimentation confirmed that SO2 and NO2 have no significant effect on the activity of the catalyst.


image file: d5sc04590h-s12.tif
Scheme 12 Ag@POP-HCO3 catalyses CO2 conversion in coal-fired flue gas.

The mechanism of this conversion is shown in Scheme 12. CO2 is enriched by the porous structure of polymers and free HCO3 to give 32. The N-nucleophile of propargylamine then attacks the activated CO2, and Ag interacts with C[triple bond, length as m-dash]C through π electrons to form the carbamate intermediate 33, followed by intramolecular cyclisation to generate vinyl-silver 34. Finally, 34 is converted into the final product 31, and the catalyst Ag@NHC–HCO3 is regenerated. HCO3 may promote the conversion of waste CO2 in two ways: (1) as the HCO3 content increases, the specific surface area and microporosity of the catalyst increase, which favours CO2 adsorption; (2) HCO3 contributes to the formation of the NHC–CO2 structure between CO2 and NHC under alkaline conditions.64,65 According to this mechanism, CO2 may be converted into other small-molecule compounds, such as H2CO3. Further analysis of these compounds could clarify the issue of selective CO2 conversion.

3.2 Direct conversion of real waste CO2 without metals

As demonstrated in the preceding discussion, imidazole polymers and metallised imidazole polymers offer unique advantages in the catalytic conversion of waste CO2.57 CO2 can undergo C[double bond, length as m-dash]O bond cleavage, resulting in the formation of CHO fragments. In 2023, Liang, Pan and co-workers reported the enrichment and conversion of CO2 in AFG (46 vol%) using an ionic NHC ligand polymer, IPOP-3, through metal-free catalysis (Scheme 13).66 The hydroxide anions, nitrogen sites, and porous structure in IPOP-3 act synergistically to promote the enrichment and conversion of CO2. With IPOP-3 as the catalyst and PhSiH3 as the additive, the primary amines 35 react with the CO2 present in AFG to produce the corresponding formamide 36. In addition, this reaction can convert the CO2 in AFG gas on the gram scale (1.27 g).
image file: d5sc04590h-s13.tif
Scheme 13 IPOP-3 catalyzes CO2 conversion in AFG.

As illustrated in Scheme 13, the authors proposed the catalytic cycle. Initially, CO2 in AFG gas is selectively adsorbed onto IPOP-3 through the combined effect of hydroxide ions, nitrogen sites, and pore channels, creating a local atmosphere of high CO2 concentration. PhSiH3 is activated via nucleophilic interaction with the OH groups in IPOP-3, forming a high-valence silicon centre 37 that reduces CO2 to formate anions and intermediate 38. The formate anion undergoes nucleophilic substitution with intermediate 38 to generate intermediate 39 and regenerate the IPOP-3 catalyst. Finally, amine 35 undergoes nucleophilic substitution with 39 to yield the formamide product 36 and byproduct phenylsilanol. It is evident that waste CO2 is also activated by NHC, whereas the reactant amine is not activated by any species. Nevertheless, the use of stoichiometric phenylsilane and the low atomic utilisation rate of CO2 reduce the atomic economy of this method.

Real waste CO2 can be directly converted into various high-value-added products using porous polymer catalysis, providing a solution to the environmental problems caused by industrial CO2 emissions. Although this process is currently at the pilot stage, it provides important information for potential industrial applications. Additionally, the Liang group59 designed a prototype continuous-flow device for converting waste CO2, demonstrating the possibility of directly introducing emitted exhaust gas into a porous polymer catalytic system to achieve selective adsorption and conversion of CO2. Designing a comprehensive flow catalytic system and exploring further parameters—including exhaust gas introduction, product separation, catalyst regeneration and circulation, and exhaust gas treatment—will help porous polymer catalysts achieve continuous conversion of waste CO2 on a large scale. However, there remains a paucity of discussion regarding selectivity in real CO2 conversion processes.

4. Summary and outlook

Porous polymer catalysts offer unique advantages for the enrichment and catalytic conversion of waste CO2. This review summarises research on the catalytic conversion of waste CO2 using porous polymer catalysts. The catalytic efficiency and reaction conditions of different heterogeneous polymer catalysts vary. For clarity, Table 1 provides a summary of the turnover frequency (TOF), stability, CO2 adsorption capacity, and reaction conditions involved in the conversion of waste CO2. To distinguish between “simulated” and “real” waste CO2, we have summarised the gas composition and experimental conditions for each type in Table 2. Table 3 summarises the characteristics of the porous polymer catalysts described in this review, including functional groups, metal incorporation, and mechanistic features such as CO2 activation modes. Moreover, Table 4 summarises the performance of different polymer catalysts in generating the same products (e.g. cyclic carbonates, formamides and oxazolidinones), including yield, TOF and selectivity. Our outlook is as follows:
Table 1 Activities of different catalysts for waste CO2 conversion
Catalysts Preparation method TOFa Stability/°C CO2 adsorption capacityb Pore sizes/nm
a TOF = [n(product)]/[n(ionic or metal sites) × (reaction time)]. b Unless indicated otherwise, the term refers to the adsorption capacity for pure CO2 and 25 °C.
Co/POP-TPP Radical polymerization 4.4 350 8 cm3 g−1 (15% CO2) 0.4–2, 12–150
POP–PBnCl–TPPMg Copolymerization 19.8 200 50.6 cm3 g−1 0.7–9.3
Bp-Zn@MA Polycondensation 21–1580 300 0.85 mmol g−1 1.5, 4–11
PIL-Br1.0@Zn-CTM Pyrolysis and polymerization 39–72 300 1.2 mmol g−1 (0 °C) 3.9 (average)
HIP-Br-2 Friedel–Crafts alkylation 0.09–0.2 300 1.9 mmol g−1 0.55–1.61, ∼3
HCP Friedel–Crafts alkylation 136–240 750 2.02 mmol g−1 (0 °C) 6.4 (average)
Cu@NHC-1 Copolymerization 4–9.6 400 13.39 cm3 g−1 <5
Ag@POP-NL-3 Copolymerization 1.6–1.8 280 ∼10.8 cm3 g−1 50–100
POP-6@Ag2O Copolymerization 350 10.5 cm3 g−1 1.85–20.48
POP-1-Pd Copolymerization 5.5–6.8 300 11.62 cm3 g−1 5.87 (average)
Ag@NHC–HCO3 Copolymerization 81–106 400 ∼11.2 cm3 g−1 ∼3
IPOP-3 Copolymerization 0.3–0.4 250 12.3 cm3 g−1 ∼4

Waste CO2 Additives T/°C t/h Conv. or yield % Selectivity/% Cycles Ref.
15% CO2 + 85% N2, 1 atm TBAB 29 48 45.4 88.7 18 48
15% CO2 + 85% N2, 1 atm 40 96 95.1 73.8 5 46
20% CO2 + 80% N2, 2 Mpa TBAB 100 6 11–99 >99 5 49
15% CO2 + 85% N2, 1 Mpa 100 or 120 13 or 20 51–99 ≥99 7 55
15% CO2 + 85% N2, 1 bar ZnBr2 55 120 85–96 >99 5 56
15% CO2 + 85% N2, 3 Mpa 120 20–32 85–96 99 5 57
Lime kiln gas (30% CO2), 1 atm 50 7.5 or 16 56–94 5 59
Lime kiln gas (30% CO2), 1 atm DBU rt 12 85–95 7 60
Coal-fired flue gas (8% CO2), 1 atm rt 7 78–92 6 61
Lime kiln gas (30% CO2), 1 atm NaOtBu rt 12 54–67 6 62
Coal-fired flue gas (8% CO2), 1 atm rt 36 62–81 3 63
Anaerobic fermentation gas (46% CO2), 1 atm PhSiH3 rt 24 62–90 5 66


Table 2 Gas compositions and experimental conditions
Waste CO2 Waste gas Gas compositions Experimental conditions Ref.
Catalyst Additive Solvent T/°C t/h
Simulated exhaust gas 15% CO2 + 85% N2 Co/POP-TPP TBAB 29 48 48
POP–PBnCl–TPPMg MeCN 40 96 46
PIL-Br1.0@Zn-CTM 100 or 120 13 or 20 55
HIP-Br-2 ZnBr2 DMF 55 120 56
HCP 120 20–32 57
20% CO2 + 80% N2 Bp-Zn@MA TBAB 100 6 49
Real exhaust gas Lime kiln gas 67.9% N2, 30% CO2, 2% O2, 0.1% CO, 15 ppm SO2 Cu@NHC-1 MeCN 50 7.5 or 16 59
Ag@POP-NL-3 DBU MeCN rt 12 60
67% N2, 30% CO2, 2% O2, 0.1% CO, 100 ppm SO2 POP-1-Pd NaOtBu DMSO rt 12 62
Coal-fired flue gas 8% CO2 POP-6@Ag2O MeCN rt 7 61
Ag@NHC–HCO3 DMSO rt 36 63
Anaerobic fermentation gas 49% CH4, 46% CO2, 1.5% O2, 66 ppm H2S IPOP-3 PhSiH3 MeCN rt 24 66


Table 3 A comparison of different porous polymer catalysts
Porous polymer catalysts Functional groups Metal incorporation Mechanistic features Ref.
Porous polymer catalysts loaded with metals
image file: d5sc04590h-u1.tif Porphyrin CoCl2·6H2O • CO2 activation mode: the acid–base interaction between nitrogen atoms in porphyrins and CO2, and the strong interaction between the porphyrin π system and CO2 48
• Both cobalt and TBAB activate epichlorohydrins
image file: d5sc04590h-u2.tif Porphyrin and phosphonium salt MgBr2·Et2O • CO2 activation mode: the acid–base interaction between nitrogen atoms in porphyrins and CO2, and the strong interaction between the porphyrin π system and CO2 46
• Both Mg and Cl activate epichlorohydrins
image file: d5sc04590h-u3.tif 1,3,5-Triazine, bipyridine, and secondary amine group ZnBr2 • CO2 activation mode: the acid–base interaction between alkaline N sites and CO2 49
• Micropores and abundant nitrogen sites selectivity adsorption for CO2
• Mesopores is to facilitate the rapid diffusion of reactants
• Both Zn and Br activate epoxides
image file: d5sc04590h-u4.tif Carbon nanocomposite, NHC and Br Zn(OAc)2·2H2O • CO2 activation mode: the acid–base interactions between CO2 and NHCs and N-basic sites, as well as a strong interaction between carbon nanocomposites and CO2 55
• Both Zn and Br activate epoxides
image file: d5sc04590h-u5.tif NHC Cu(OAc)2 • CO2 activation mode: the acid–base interaction between NHCs and CO2 59
• Cu activates epoxides
image file: d5sc04590h-u6.tif NHC and Br AgNO3 • CO2 activation mode: the acid–base interaction between NHCs and CO2 60
• Both DBU and Ag activate propargylic alcohols
image file: d5sc04590h-u7.tif NHC and aniline Ag2O • CO2 activation mode: the acid–base interactions of CO2 with NHCs and anilines, respectively 61
• Ag activates propargylamines
image file: d5sc04590h-u8.tif NHC and Cl Pd(PPh3)4 • CO2 activation mode: the acid–base interaction between NHCs and CO2 62
• Pd activates both iodobenzenes and propargylamines
image file: d5sc04590h-u9.tif NHC and HCO3 AgNO3 • CO2 activation mode: the acid–base interaction between NHCs and CO2 63
• Ag activates propargylamines
• HCO3 promotes NHC–CO2 formation
[thin space (1/6-em)]
Porous polymer catalyst without metal loading
image file: d5sc04590h-u10.tif NHC and Br ZnBr as the additive • CO2 activation mode: the acid–base interaction between NHCs and CO2 56
• Br activates epoxides
image file: d5sc04590h-u11.tif NHC and Br • CO2 activation mode: the acid–base interaction between NHCs and CO2 57
• Br activates epoxides
image file: d5sc04590h-u12.tif NHC and OH • CO2 activation mode: the acid–base interaction between NHCs and CO2 66


Table 4 A comparison of the catalytic performance when synthesising the same product
Catalysts Conv. or yield/% Selectivity/% TOF Ref.
image file: d5sc04590h-u13.tif
Co/POM-TPP 45.4 88.7 4.4 48
POP–PBNCI–TPPMg 95.1 73.8 19.8 46
Bp-Zn@MA 11–99 >99 21–1580 49
PIL-Br1.0@Zn-CTM 51–99 ≥99 39–72 55
HIP-Br-2 85–96 >99 0.09–0.2 56
HCP 85–96 99 136–240 57
[thin space (1/6-em)]
image file: d5sc04590h-u14.tif
Cu@NHC-1 56–94 4–9.6 59
POP-6@Ag2O 78–92 61
POP-1-Pd 54–67 5.5–6.8 62
Ag@POP-HCO3 62–81 81–106 63
[thin space (1/6-em)]
image file: d5sc04590h-u15.tif
Ag@POP-NL-3 85–95 1.6–1.8 60
[thin space (1/6-em)]
image file: d5sc04590h-u16.tif
IPOP-3 62–90 0.3–0.4 66


(1) The mechanism of enrichment and activation of waste CO2 by porous polymer catalysts is as follows: (i) acid–base interactions between active sites and CO2 can alter the electron distribution of CO2; (ii) interactions between specific polymer structures and CO2, such as strong interactions observed between conjugated macrocyclic structures and CO2; (iii) the hierarchical pore structure of the polymer (primarily micropores) enables CO2 enrichment, increasing its concentration near catalytic active sites. However, the mechanism of CO2 enrichment by the pore structure of polymers remains unclear. For mixed gases, the hierarchical pore structure of polymers may enrich each gas molecule. Therefore, further research is required to elucidate the enrichment mechanism of waste CO2 by the pore structure.

(2) The BET surface area and total pore volume can be modulated by adjusting the ratio of crosslinking agent to ligand. However, no direct relationship is observed between the BET surface area or total pore volume of the polymer and the conversion of low-concentration CO2 catalysed by the polymer. Accurately preparing polymer catalysts with specific surface area and pore volume tailored to the size of CO2 would be more effective for enriching and converting waste CO2. In addition, the principle underlying the regulation of BET surface area and total pore volume through the addition of anions requires further investigation.

(3) Some reports using gram-scale reactions indicate that porous polymer catalysts may catalyse the large-scale conversion of waste CO2. The development of continuous flow devices demonstrates the feasibility of introducing industrial waste gas directly into the catalytic system for enrichment and conversion of waste CO2. To our knowledge, no published studies have demonstrated the use of polymeric catalysts for industrial-scale CO2 separation and conversion, nor have the economic viability and technical feasibility of such processes been systematically evaluated. Therefore, further research is required to transition catalysts from laboratory to industrial production. Further development of milder and more efficient porous polymer catalysts is required. Sufficient attention should also be given to reactor design and optimisation.

(4) Traditionally, the discovery of catalysts for CO2 absorption and conversion involves a sequential process of polymer synthesis, catalyst optimisation and extensive data collection. Nevertheless, this empirical trial-and-error approach is not only labour-intensive, but also inherently inefficient. In the context of the rapid advancement of artificial intelligence, data-driven machine learning (ML) approaches can now be used to discover high-performance catalysts through computational prediction, thus eliminating the need for extensive experimental procedures.67 Therefore, implementing ML-based predictive modelling for catalyst optimisation can significantly reduce the time taken to develop porous polymer catalysts, while ensuring enhanced catalytic efficacy. On the other hand, ML shows great promise in characterising the surface architectures of heterogeneous catalysts using computational modelling techniques such as density functional theory, molecular dynamics and Monte Carlo simulations.68 As previously established, microstructural parameters of porous polymer catalysts, including pore size distribution, total pore volume and BET-specific surface area, affect the performance of CO2 capture and enrichment. Consequently, compiling a comprehensive database of these surface characteristics from catalysts reported in the literature is essential for the ML-driven optimisation of porous polymer parameters.

(5) The adsorption outcomes of porous polymer catalysts on waste CO2 have been detected using FT-IR and Raman spectroscopy.69 Nevertheless, the dynamic adsorption and conversion process of CO2 on polymer surfaces remains to be elucidated. In order to facilitate more intuitive detection of the conversion process of low concentration CO2, there is a critical research frontier in the development of advanced in situ spectroscopic methodologies capable of real-time monitoring of both selective adsorption and activation phenomena.

(6) In recent years, the development of bifunctional materials (BFMs) for capturing and converting CO2 has emerged as a significant research area. Typically, BFMs comprise two phases: a catalyst phase and a high-temperature adsorbent phase. Meanwhile, porous polymer catalysts have excellent thermal stability (300–750 °C, Table 1), making them compatible with high-temperature adsorption.70 Therefore, the integration of porous polymer catalysts with high-temperature adsorption phases, such as CaO, to prepare novel BFMs for CO2 adsorption and conversion is also worth studying. The good adsorption capabilities of porous polymers for waste CO2 may facilitate the capture and conversion of CO2 by BFMs, obviating the necessity for elevated temperature conditions.

(7) Polymer-based membranes exhibit significant advantages in manufacturability and functional versatility, enabling their widespread adoption in liquid/gas separation processes.71 Notably, porous organic polymers offer superior design flexibility due to their tunable wettability, chemical stability, and facile modification capabilities.72 These attributes position porous polymer catalysts as promising alternatives to conventional membrane materials—including polydimethylsiloxane, polyvinylidene fluoride, poly(vinyl alcohol), and polyethylene glycol laurate—with demonstrated potential to enhance performance metrics in critical applications ranging from gas separation and osmotic processes to advanced filtration and solvent recovery systems. On the other hand, millimetre-sized composite beads are prepared using a double cross-linking strategy, combining powdered, porous polymer catalysts with additives such as polyacrylic acid, CaCl2 and sodium alginate.73 The assembly of fixed-bed catalytic systems utilizing these composite beads as structured packing media has evolved into a burgeoning research focus, particularly for enabling continuous-flow transformation of reactants with enhanced mass transfer efficiency. For gas-phase reaction systems targeting waste CO2 valorization, continuous gas feeding into the flow reactor configuration enables simultaneous concentration enhancement and catalytic conversion through optimized gas–liquid–solid interfacial contact.

We hope that this review provides a new perspective on the enrichment and conversion of waste CO2 using porous polymer catalysts and offers direction for the design and synthesis of heterogeneous catalysts that can facilitate more efficient conversion of waste CO2.

Author contributions

All authors contributed to the conceptualization and literature search. J.-S. Jia wrote the first draft and made all schemes. All authors were involved in revising, editing, and proofreading.

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 were generated or analysed as part of this review.

Acknowledgements

We thank the National Natural Science Foundation of China (No. 22471046, 52170107, and 52360014), the Scientific Research and Innovation Team Program of Sichuan University of Science and Engineering (SUSE652A014), the Chemical Synthesis and Pollution Control Key Laboratory of Sichuan Province (CSPC202408), Sichuan University of Science and Engineering (2023RC10), and the Special Polymer Materials for Automobile Key Laboratory of Sichuan Province (Sichuan University of Arts and Science) (TZGC2024ZB-02) for financial support.

References

  1. S. Solomon, G. Plattner, R. Knutti and P. Friedlingstein, Proc. Natl. Acad. Sci. U. S. A., 2009, 106, 1704–1709 CrossRef PubMed.
  2. G. Singh, J. Lee, A. Karakoti, R. Bahadur, J. Yi, D. Zhao, K. AlBahily and A. Vinu, Chem. Soc. Rev., 2020, 49, 4360–4404 RSC.
  3. R. L. Tyne, P. H. Barry, M. Lawson, D. J. Byrne, O. Warr, H. Xie, D. J. Hillegonds, M. Formolo, Z. M. Summers, B. Skinner, J. M. Eiler and C. J. Ballentine, Nature, 2021, 600, 670–674 CrossRef PubMed.
  4. Y. Zhou, J. Zhang, L. Wang, X. Cui, X. Liu, S. S. Wong, H. An, N. Yan, J. Xie, C. Yu, P. Zhang, Y. Du, S. Xi, L. Zheng, X. Cao, Y. Wu, Y. Wang, C. Wang, H. Wen, L. Chen, H. Xing and J. Wang, Science, 2021, 373, 315–320 CrossRef CAS PubMed.
  5. P. García-Gutiérrez, R. M. Cuéllar-Franca, D. Reed, G. Dowson, P. Styring and A. Azapagic, Green Chem., 2019, 21, 4100–4114 RSC.
  6. M. Pera-Titus, Chem. Rev., 2014, 114, 1413–1492 CrossRef CAS.
  7. D.-G. Yu and L.-N. He, Green Chem., 2021, 23, 3499–3501 RSC.
  8. S. Huang, B. Yan, S. Wang and X. Ma, Chem. Soc. Rev., 2015, 44, 3079–3116 RSC.
  9. E. S. Sanz-Pérez, C. R. Murdock, S. A. Didas and C. W. Jones, Chem. Rev., 2016, 116, 11840–11876 CrossRef.
  10. M. He, Y. Sun and B. Han, Angew. Chem., Int. Ed., 2013, 52, 9620–9633 CrossRef CAS PubMed.
  11. M. D. Burkart, N. Hazari, C. L. Tway and E. L. Zeitler, ACS Catal., 2019, 9, 7937–7956 CrossRef CAS.
  12. V. A. Peshkov, O. P. Pereshivko, A. A. Nechaev, A. A. Peshkov and E. V. Van Der Eycken, Chem. Soc. Rev., 2018, 47, 3861–3898 RSC.
  13. M. Aresta, A. Dibenedetto and A. Angelini, Chem. Rev., 2014, 114, 1709–1742 CrossRef CAS PubMed.
  14. R. Cauwenbergh and S. Das, Green Chem., 2021, 23, 2553–2574 RSC.
  15. S. Das, J. Perez-Ramirez, J. Gong, N. Dewangan, K. Hidajat, B. C. Gates and S. Kawi, Chem. Soc. Rev., 2020, 49, 2937–3004 RSC.
  16. K. Huang, C.-L. Sun and Z.-J. Shi, Chem. Soc. Rev., 2011, 40, 2435–2452 RSC.
  17. J.-H. Ye, T. Ju, H. Huang, L.-L. Liao and D.-G. Yu, Acc. Chem. Res., 2021, 54, 2518–2531 CrossRef CAS PubMed.
  18. G.-Q. Sun, L.-L. Liao, C.-K. Ran, J.-H. Ye and D.-G. Yu, Acc. Chem. Res., 2024, 57, 2728–2745 CrossRef CAS PubMed.
  19. Z. Chen, S. Du, J. Zhang and X.-F. Wu, Green Chem., 2020, 22, 8169–8182 RSC.
  20. D. Aaron and C. Tsouris, Sep. Sci. Technol., 2005, 40, 321–348 CrossRef CAS.
  21. K. Huang, J.-Y. Zhang, F. Liu and S. Dai, ACS Catal., 2018, 8, 9079–9102 CrossRef CAS.
  22. A. S. Al-Fatesh, H. atia, A. A. Ibrahim, A. H. Fakeeha, S. K. Singh, N. K. Labhsetwar, H. Shaikh and S. O. Qasim, Renewable Energy, 2019, 140, 658–667 CrossRef CAS.
  23. S. B. Walker, D. Sun, D. Kidon, A. Siddiqui, A. Kuner, M. Fowler and D. S. A. Simakov, Int. J. Energy Res., 2018, 42, 1714–1728 CrossRef CAS.
  24. R. Bouma, F. Vercauteren, P. Van Os, E. Goetheer, D. Berstad and R. Anantharaman, Energy Procedia, 2017, 114, 72–80 Search PubMed.
  25. C. Nwaoha, P. Tontiwachwuthikul and A. Benamor, J. Environ. Chem. Eng., 2018, 6, 7102–7110 CrossRef.
  26. Y. Zhang, X. Ji and X. Lu, Appl. Energy, 2014, 130, 237–243 CrossRef.
  27. A. Álvarez, A. Bansode, A. Urakawa, A. V. Bavykina, T. A. Wezendonk, M. Makkee, J. Gascon and F. Kapteijn, Chem. Rev., 2017, 117, 9804–9838 CrossRef PubMed.
  28. S.-T. Bai, G. De Smet, Y. Liao, R. Sun, C. Zhou, M. Beller, B. U. Maes and B. F. Sels, Chem. Soc. Rev., 2021, 50, 4259–4298 RSC.
  29. P. Gao, L. Zhang, S. Li, Z. Zhou and Y. Sun, ACS Cent. Sci., 2020, 6, 1657–1670 CrossRef PubMed.
  30. Q. Sun and F.-S. Xiao, Acc. Mater. Res., 2022, 3, 772–781 CrossRef.
  31. S. Kramer, N. R. Bennedsen and S. Kegnæs, ACS Catal., 2018, 8, 6961–6982 Search PubMed.
  32. P. Kaur, J. T. Hupp and S. T. Nguyen, ACS Catal., 2011, 1, 819–835 CrossRef.
  33. W.-Y. Huang, G.-Q. Wang, W.-H. Li, T.-T. Li, G.-J. Ji, S.-C. Ren, M. Jiang, Y. Li, H.-T. Tang, Y.-M. Pan and Y.-J. Ding, Chem, 2020, 6, 2300–2313 Search PubMed.
  34. J.-S. Jia, J.-R. Luo, W.-H. Li, F.-H. Cui, Y.-M. Pan and H.-T. Tang, Adv. Sci., 2024, 11, 2308238 CrossRef CAS PubMed.
  35. Y. Zhu, D. Mukherjee, T. R. Helgert and S. T. Nguyen, CCS Chem., 2023, 5, 445–454 CrossRef CAS.
  36. S. Dalapati, C. Gu and D. Jiang, Small, 2016, 12, 6513–6527 CrossRef CAS PubMed.
  37. Y.-Y. Zhu, Y.-Y. He, Y.-X. Li, C.-H. Liu and W. Lin, Chem.–Eur. J., 2024, 30, e202400842 CrossRef CAS.
  38. M. Asad, M. I. Anwar, A. Abbas, A. Younas, S. Hussain, R. Gao, L.-K. Li, M. Shahid and S. Khan, Coord. Chem. Rev., 2022, 463, 214539 CrossRef CAS.
  39. Q. Sun, Z. Dai, X. Meng and F.-S. Xiao, Chem. Soc. Rev., 2015, 44, 6018–6034 RSC.
  40. S. Daliran, A. R. Oveisi, Y. Peng, A. López-Magano, M. Khajeh, R. Mas-Ballesté, J. Alemán, R. Luque and H. Garcia, Chem. Soc. Rev., 2022, 51, 7810–7882 RSC.
  41. P. Rani, R. Das and C. M. Nagaraja, Inorg. Chem. Front., 2025, 12, 430–478 RSC.
  42. G. Li, S. Dong, P. Fu, Q. Yue, Y. Zhou and J. Wang, Green Chem., 2022, 24, 3433–3460 RSC.
  43. Q. Sun, Z. Dai, X. Liu, N. Sheng, F. Deng, X. Meng and F.-S. Xiao, J. Am. Chem. Soc., 2015, 137, 5204–5209 CrossRef CAS.
  44. Q.-W. Song, Z.-H. Zhou and L.-N. He, Green Chem., 2017, 19, 3707–3728 RSC.
  45. X. -B. Lu and D. J. Darensbourg, Chem. Soc. Rev., 2012, 41, 1462–1484 RSC.
  46. Z. Dai, Y. Tang, F. Zhang, Y. Xiong, S. Wang, Q. Sun, L. Wang, X. Meng, L. Zhao and F.-S. Xiao, Chin. J. Catal., 2021, 42, 618–626 CrossRef CAS.
  47. S. Kumar, M. Y. Wani, C. T. Arranja, J. D. A. e Silva, B. Avula and A. J. Sobral, J. Mater. Chem. A, 2015, 3, 19615–19637 RSC.
  48. Z. Dai, Q. Sun, X. Liu, C. Bian, Q. Wu, S. Pan, L. Wang, X. Meng, F. Deng and F.-S. Xiao, J. Catal., 2016, 338, 202–209 CrossRef CAS.
  49. J. Chen, H. Li, M. Zhong and Q. Yang, Green Chem., 2016, 18, 6493–6500 RSC.
  50. Z. Guo, Y. Hu, S. Dong, L. Chen, L. Ma, Y. Zhou, L. Wang and J. Wang, Chem Catal., 2022, 2, 519–530 CAS.
  51. Y. He, X. Li, W. Cai, H. Lu, J. Ding, H. Li, H. Wan and G. Guan, ACS Sustainable Chem. Eng., 2021, 9, 7074–7085 CrossRef CAS.
  52. X. Wang, Y. Zhou, Z. Guo, G. Chen, J. Li, Y. Shi, Y. Liu and J. Wang, Chem. Sci., 2015, 6, 6916–6924 RSC.
  53. S. Ghazali-Esfahani, H. Song, E. Păunescu, F. D. Bobbink, H. Liu, Z. Fei, G. Laurenczy, M. Bagherzadeh, N. Yan and P. J. Dyson, Green Chem., 2013, 15, 1584–1589 RSC.
  54. Y. Xie, J. Liang, Y. Fu, M. Huang, X. Xu, H. Wang, S. Tu and J. Li, J. Mater. Chem. A, 2018, 6, 6660–6666 RSC.
  55. M. Liu, C. Ma, Q. Wang, R. Li, S. Yu, H. Chen and F. Liu, Chem. Eng. J., 2024, 500, 157099 CrossRef CAS.
  56. J. Li, D. Jia, Z. Guo, Y. Liu, Y. Lyu, Y. Zhou and J. Wang, Green Chem., 2017, 19, 2675–2686 RSC.
  57. W. Zhang, F. Ma, L. Ma, Y. Zhou and J. Wang, ChemSusChem, 2020, 13, 341–350 CrossRef PubMed.
  58. Y. Liang, K.-Z. Xu, P.-B. Chen, P. Fang, J. Huang and Y.-M. Pan, Adv. Synth. Catal., 2025, 367, e202500238 CrossRef.
  59. Z.-X. Rao, P.-B. Chen, J. Xu, Q. Wang, H.-T. Tang, Y. Liang and Y.-M. Pan, ChemSusChem, 2023, 16, e202300170 CrossRef PubMed.
  60. P.-B. Chen, J.-W. Yang, Z.-X. Rao, Q. Wang, H.-T. Tang, Y.-M. Pan and Y. Liang, J. Colloid Interface Sci., 2023, 652, 866–877 CrossRef PubMed.
  61. Y. Liang, Q. Xia, J.-Y. Yang, X.-J. Meng, X.-M. Hu and Y.-M. Pan, Chem. Eng. J., 2024, 498, 155305 CrossRef.
  62. Y. Liang, Q. Wang, X.-X. Shen, J.-Y. Yang, P.-B. Chen, P. Fang and Y.-M. Pan, J. Colloid Interface Sci., 2025, 678, 754–765 CrossRef PubMed.
  63. Y. Liang, J. Yang, W. Chen, P. Chen, P. Fang and Y.-M. Pan, Chem. Synth., 2025, 5 Search PubMed , https://www.oaepublish.com/pre_onlines/cs.2024.103.
  64. S. Lux, G. Baldauf-Sommerbauer and M. Siebenhofer, ChemSusChem, 2018, 11, 3357–3375 CrossRef PubMed.
  65. P. Chen, X. Tang, X. Meng, H. Tang, Y. Pan and Y. Liang, Green Synth. Catal., 2022, 3, 162–167 CAS.
  66. X.-Y. Tang, J. Liu, P.-B. Chen, C.-C. Wu, X.-J. Li, Y.-M. Pan and Y. Liang, ChemCatChem, 2023, 15, e202201351 CrossRef CAS.
  67. S. Mace, Y. Xu and B. N. Nguyen, ChemCatChem, 2024, 16, e202301475 CrossRef CAS.
  68. H. Li, Y. Jiao, K. Davey and S.-Z. Qiao, Angew. Chem., Int. Ed., 2023, 62, e202216383 CrossRef CAS PubMed.
  69. M. Wang, X. Fan, L. Zhang, J. Liu, B. Wang, R. Cheng, M. Li, J. Tian and J. Shi, Nanoscale, 2017, 9, 17593–17600 RSC.
  70. K. Baamran, S. Lawson, A. A. Rownaghi and F. Rezaei, JACS Au, 2024, 4, 101–115 CrossRef CAS PubMed.
  71. W. Ma, Y. Lin and Y. Tang, Separations, 2022, 9, 253 CrossRef.
  72. G. K. Dam, S. Let, V. Jaiswal and S. K. Ghosh, ACS Sustainable Chem. Eng., 2024, 12, 3000–3011 CrossRef CAS.
  73. S. Let, G. K. Dam, S. Fajal and S. K. Ghosh, Chem. Sci., 2023, 14, 10591–10601 RSC.

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