Open Access Article
Omer Shinnawy,
Seyyed Arman Hejazi
and
Kiana Amini
*
Department of Materials Engineering, The University of British Columbia, 6350 Stores Road, Vancouver, BC V6T 1Z4, Canada. E-mail: kiana.amini@ubc.ca
First published on 9th June 2026
Effective utilization of saline waters as a large reservoir of both dissolved inorganic carbon (DIC) and lithium would simultaneously support carbon mitigation and secure critical mineral supply. Here, we report the first demonstration of a dual-function electrochemical system capable of coupling CO2 capture and Li+ extraction from saline waters. Using a pH-swing architecture with bismuth and LiFePO4 electrodes, we achieve stable pH cycling between 8.1 and 4.7 in 2.1 mM DIC, while extracting lithium at concentrations down to 0.17 ppm Li+ (seawater levels). Under impurity-free conditions, the system maintains 80% bismuth utilization and 50% lithium utilization, with attractive energetic costs of 128 kJ mol−1 CO2 and 121 kJ mol−1 Li, comparable to state-of-the-art stand-alone electrochemical systems. By integrating Li+ and CO2 extraction using shared pumping, membrane, and reactor infrastructure, this system offers a compelling path toward co-production of critical materials and integrated CO2 capture using a single seawater-processing platform.
In parallel, the rapid development of energy storage technologies and electronics has driven a sharp increase in global lithium demand, underscoring the need for more efficient and scalable lithium extraction methods. Approximately 27 million tons of lithium are contained in brines or salt lakes with concentrations between 30 and 1000 ppm,8 while seawater holds an estimated 200 billion. Conventional lithium extraction from brines, primarily via solar evaporation, is slow, typically requiring up to two years.9 In contrast, electrochemical systems powered by renewable energy have recently demonstrated promising pathways for extracting lithium from both brine10,11 and even seawater sources.12
To date, electrochemical CO2-capture and lithium-extraction technologies from saline waters have been developed exclusively as separate, stand-alone systems, even though both rely on the same seawater feedstocks. For example, in the majority of electrochemical cells reported for lithium extraction,10–16 lithium is intercalated into iron phosphate (FePO4, FP) or manganese oxide (MnO2, MO) electrodes on one half-cell, coupled with counter-reactions such as oxygen evolution on activated carbon or reduced graphene, or the Ag/AgCl redox reaction. These counter-reactions primarily function to close the circuit and enable electron flow. A similar design philosophy is seen in electrochemical systems for carbon capture from water resources. The basic operating principle of electrochemical CO2 capture is to push the CO2/bicarbonate equilibrium toward dissolved CO2 by acidifying the seawater.17 This acidification reaction has been coupled with the Ag/AgCl counter-reaction, primarily to mediate chloride ions,2 or bipolar membranes18 have been used to create an acidified stream, with the ferrocyanide/ferricyanide redox couple driving ion movement and closing the circuit.5 Acidification has also been achieved using oxygen and hydrogen evolution reactions.4,19,20
The integration of CO2 capture and lithium extraction within a single saline-water processing technology presents not only a dual solution to environmental and resource challenges but also a clear economic advantage. Both processes rely on water intake, pumping, and electrochemical infrastructure, allowing a combined system to maximize the utility of capital investment by producing two valuable outputs from related streams. By extracting lithium alongside carbon dioxide, the system enhances its commercial viability, diversifies its revenue streams, and increases its attractiveness to investors and policymakers seeking scalable solutions for climate mitigation and critical mineral supply.
In this work, we report the first proof-of-concept of a dual-function electrochemical cell capable of simultaneous carbon capture and lithium extraction. We first describe the working principles of the system, followed by a thermodynamic analysis to estimate its energy requirements. This is complemented by H-cell and flow-cell experiments, which demonstrate proof of concept and evaluate key performance metrics of the technology.
During the extraction and acidification step (Fig. 1a, left), lithium is extracted from seawater at the cathode, while the anode undergoes a PCET reaction (e.g., oxidation of bismuth), acidifying the solution. This acidification shifts the bicarbonate and carbonate equilibria toward dissolved CO2, enabling CO2 removal from seawater (Fig. S1). In the recovery and alkalization step (Fig. 1a, right), seawater is replaced with a recovery solution on the lithium side, and the intercalated lithium is released into this solution, creating a concentrated lithium stream. Meanwhile, at the BiOCl electrode, protons are consumed, causing the pH to rise. The processed water, with its pH adjusted, is then ready to be returned to ocean water to reabsorb CO2.
The electrochemical system can be configured to use seawater on both sides or a combination of brine and seawater. Seawater typically contains less than 0.5 ppm lithium and has a pH of around 8.1.22 It can be circulated on both sides of the cell to achieve integrated lithium extraction and carbon capture. Alternatively, brine resources, such as desalination brine, are more concentrated in lithium and can be used on the lithium side for more efficient lithium extraction, while seawater is used on the carbon capture side. This configuration is particularly relevant for coastal desalination plants, where brine and seawater are both accessible and can be processed in parallel.
The process can be operated in a single flow cell in batch mode (Fig. 1c), where a fixed volume of seawater is processed in discrete cycles, enabling controlled operation and decoupling of extraction and recovery steps. In the first step, seawater is circulated through the cell to enable lithium extraction and CO2 capture. Once this step is complete, the seawater is replaced with a recovery solution on the lithium side only, while the PCET side (e.g., bismuth) remains unchanged. The cell polarity is then reversed to recover lithium into the recovery stream and regenerate alkaline seawater. Alternatively, the system can be designed as a continuous flow setup (Fig. 1d), which is more relevant for scalable operation, while the fundamental operating principle remains the same. In continuous mode, two cells operate in tandem until the electrodes reach depletion. At that point, the polarity and flow direction are switched (Fig. 1d).
| Positive electrode: 3FePO4 + 3e− + 3Li+ ⇌ 3LiFePO4 E0 = 0.36 V vs. SHE | (1) |
| Negative electrode: Bi + Cl− + H2O ⇌ BiOCl + 2H+ + 3e− E0 = 0.16 V vs. SHE | (2) |
| Overall: Bi + Cl− + 3FePO4 + 3Li+ + H2O ⇌ BiOCl + 3LiFePO4 + 2H+ ΔE0 = 0.20 V | (3) |
Based on these reactions, the thermodynamic cell voltage is:
![]() | (4) |
![]() | (5) |
![]() | (6) |
| CO2(aq) + H2O ⇌ HCO3− + H+ | (7) |
| HCO3− ⇌ CO32− + H+ | (8) |
| H2O ⇌ OH− + H+ | (9) |
with the corresponding relationships:
| [CO2(aq)] = PCO2 × CHenry | (10) |
![]() | (11) |
![]() | (12) |
| [H+][OH−] = Kw | (13) |
| [H+] + [Na+] = [Cl−] + [HCO3−] + 2[CO32−] + [OH−] | (14) |
and maintain the total dissolved inorganic carbon (DIC):
| [DIC] = [CO2(aq)] + [HCO3−] + [CO32−] | (15) |
We calculated seawater DIC to be 2.07 mM at pH 8.1 (see SI Section 1.1). Due to seawater's high salinity (S > 0.1), we applied the Dickson and Millero model23,24 to estimate activity coefficients for the bicarbonate/carbonate system rather than using the Debye–Hückel approach. Additionally, we used the Millero and Schreiber25 method to estimate activity coefficients for lithium, chloride, and protons based on salinity. The system of eqn (5)–(15) is solved for the extraction/acidification step and, similarly, with reversed polarity for the recovery/alkalization step (SI section 1.2 & 1.3).
The speciation of the bicarbonate/carbonate system can be calculated on the bismuth side as a function of charge passed, which results in relatively similar results to a stand-alone Bi/BiOCl carbon capture device.2 Fig. 2a and b show the speciation of carbonate-containing compounds as a function of charge per volume passed on the bismuth side and the corresponding pH swing, respectively. A pH shift from 8 to 4.5, which requires approximately Qv,neg = 320 C L–1, pushes the equilibrium strongly toward CO2(aq), increasing the partial pressure of CO2 to 60 mbar and resulting in the extraction of 0.002 mol of CO2 per liter of processed water, assuming 95% extraction.
Given the desired pH swing target and the fixed charge designed for CO2 capture, we can calculate how much lithium can be co-extracted, which depends on the initial lithium concentration and the volume processed on the lithium side. Depending on the lithium concentration of the source water, asymmetric residence times between the two sides may therefore be necessary to achieve both the target pH swing and the desired lithium extraction. This asymmetry can be implemented by processing unequal volumes on each side of the cell to meet the different extraction goals. To calculate the required lithium-side volume based on the initial lithium concentration, eqn (5) can be rewritten as:
![]() | (16) |
Assuming that 95% of the dissolved CO2 is extracted during the extraction step, the total DIC drops to approximately 0.167 mM, and the partial pressure of CO2 falls to 4 mbar. On the lithium side, the electrolyte is replaced with a recovery solution to release the extracted lithium into a smaller volume and generate a concentrated lithium stream. Here, we examine the first fresh recovery stream (i.e., not pre-concentrated). The speciation of the electrolyte during the alkalization step is shown in Fig. 2d, and the resulting pH swing is depicted in Fig. 2e. As can be seen, during alkalization, as the pH shifts to the alkaline region, the equilibrium shifts toward carbonate dominance. Due to the substantial reduction in DIC after extraction, the buffering capacity of the solution decreases, resulting in the same amount of charge (320 C L–1) to drive the pH close to 11 during discharge. This asymmetry between the proton and lithium concentrations during extraction/acidification versus recovery/alkalization leads to an observable voltage offset between the two steps, as shown in Fig. 2f for the two lithium concentrations analyzed in Fig. 2c. The corresponding thermodynamic work is calculated using:
![]() | (17) |
This represents the ideal work required for each process, excluding overpotentials and the energetic cost associated with CO2 stripping. For an initial lithium concentration of 0.17 ppm (seawater-like), the thermodynamic work is 47.8 kJ mol−1 CO2, which corresponds to 27.3 kJ mol−1 Li+ recovered when the same total work is normalized by the moles of CO2 captured or Li+ recovered. In contrast, for a brine with 50 ppm lithium, the work drops to 23.1 kJ mol−1 CO2, equivalent to 13.2 kJ mol−1 Li+. As expected from the Nernst equation, increasing the initial lithium concentration makes the extraction more favorable, thereby reducing the required work. This trend is shown in Fig. S2, where the energetic cost decreases from 48 to 20 kJ mol−1 CO2 (equivalent to 27 to 11 kJ mol−1 Li+) as lithium concentration increases from 0.17 to 100 ppm (representing a transition from seawater to brine). Furthermore, during the recovery step, the lithium-side volume is often chosen to be smaller than the extraction-side volume to concentrate on the released lithium. This volume asymmetry affects the Nernst potential during recovery and further increases the energetic cost for highly concentrated streams. As shown in Fig. S3a, reducing the recovery volume from 0.3 to 0.01 times the extraction volume increases the work from 49 to 67 kJ mol−1 CO2 (equivalent to 28 to 38 kJ mol−1 Li+). Therefore, both the initial lithium concentration and the targeted recovery volume influence the total energy requirement, as summarized in contour plots in Fig. 2g. Additionally, repeated cycling leads to an increase in lithium concentration in the recovery solution, which increases the thermodynamic work required for lithium release as dictated by the Nernst relation. Fig. S3b and S3c quantify the resulting increase in minimum thermodynamic work as the lithium concentration in the recovery stream rises over successive cycles up to 1 M. For an initial brine concentration of 50 ppm Li+, the required work increases to 53 kJ mol−1 CO2 and 30 kJ mol−1 Li+, while for seawater (0.17 ppm Li+) it increases to 77 kJ mol−1 CO2 and 44 kJ mol−1 Li+, when the concentration of Li+ reaches 1 M in the recovery solution.
Another factor affecting energetic cost is the dilution of the bismuth side. During alkalization, the pH can swing to values close to 11 (Fig. 2e). According to the Pourbaix diagram of bismuth,26 this may lead to the formation of Bi2O3. To mitigate this, the alkalization step can be adjusted by diluting the bismuth-side solution by mixing with a fresh seawater stream, creating a buffering capacity to control the pH change (Fig. 2h). This stream could be the lithium-depleted effluent from the extraction step. Fig. 2i shows the energetic cost per mole of Li+ and CO2 as a function of different dilution factors and the corresponding final pH achieved on the bismuth side.
To assess the feasibility of coupling lithium extraction and CO2 capture, an H-cell configuration was employed (Fig. 3c and S6), with compartments separated by an anion exchange membrane (Selemion DSVN). Due to the limited electrolyte volume in the H-cell, a solution containing 0.25 mM DIC was used on the bismuth side, and 350 ppm lithium on the lithium side, both in 0.5 M NaCl. Higher DIC concentrations and lower lithium concentrations will be tested in a flow-cell design where volume control is more flexible. The cell was operated at a constant current density of 1.0 mA cm−2. On the bismuth side, the pH decreased from 8.3 to 4.7 during acidification, rose slightly to 4.8 after resting, and increased to 9.8 following alkalization. This behavior is consistent with CO2 capture during acidification and the reduced buffering capacity at low DIC concentrations during alkalization, as predicted by the thermodynamic analysis. In DIC-free controls, the pH on the bismuth side fully returned to the baseline after cycling, with no observable change on the lithium side (Fig. S7). Additionally, the lithium side also showed no significant pH shift, with measurements before and after extraction and recovery remaining between 6.0 and 6.4 (Fig. 3e). Inductively coupled plasma (ICP) analysis confirmed the extraction of 25.3 µmol of lithium, corresponding to a lithium capacity utilization of 70%, where capacity utilization is defined as the fraction of the total charge passed that is attributed to Li+ transport. Assuming that the remaining charge is carried by Na+, as supported by the cyclic voltammetry profiles, this corresponds to an effective Li/(Na + Li) charge selectivity of 70%. This preliminary H-cell experiment validates the fundamental compatibility of the two half-reactions and provides the basis for subsequent integration in a flow cell architecture.
The extraction/acidification step concluded when the bismuth-side pH decreased from 8.0 to 4.5–4.8, triggering CO2 desorption. The cell was then held at open-circuit potential to allow the CO2 sensor to register and stabilize. After rinsing the lithium side with distilled water, a recovery solution is recirculated containing 20 mL of 0.05 M KCl + 0.14 ppm Li+, which was reused across cycles to progressively concentrate the lithium stream. On the bismuth side, the CO2-degassed electrolyte was mixed with 100 mL of pristine solution to increase buffering capacity and avoid exceeding pH 10 during recovery (see the discussion in Fig. 2h). In practice, this pristine solution can be the lithium-deficient seawater electrolyte previously used on the lithium side (Fig. S11).
The first cycle served as a pretreatment step for further electrode activation, resulting in lower utilization of both electrodes (Bi utilization: 60%; Li utilization: 44%) and requiring 20% more charge to reach the same pH endpoint. Subsequent cycles showed higher and stable utilization (Bi: 84%; Li: 78% on average). This five-cycle protocol produced the voltage, current, bismuth-side pH, and CO2 data shown in Fig. 4b, with lithium-side pH values before and after each cycle provided in Fig. S11 and S12. ICP analysis confirmed an average lithium extraction of 78 µmol per cycle, corresponding to an average of 78% charge utilization on the lithium side toward lithium extraction (Fig. 4a and b). Simultaneously, CO2 sensor data indicated an average CO2 release of 29 µmol per cycle. The bismuth-side pH during acidification decreased from 8.5 to 4.5–4.8, corresponding to 84% charge utilization toward pH change (Fig. 4a and b). The lithium-side pH increased slightly from 6.5 to 7.7 before and after extraction.
During alkalization, the bismuth-side pH (after mixing with pristine solution) increased to 8.5 and only reached 9.0 at the end of the step, successfully avoiding pH > 10, which could lead to the formation of Bi2O3.26 The lithium-side pH remained negligible between 7.1 and 7.7 during recovery. The average energetic cost across cycles was 204 kJ mol−1 CO2, equivalent to 75 kJ mol−1 Li. In addition to these values, we report an estimate based on 90% of the CO2 capture predicted from the pH swing achieved in the experiments (from 8.5 to 4.5–4.8). The CO2 detected by the sensor under N2 degassing was lower than the amount predicted from the pH swing. In a practical configuration integrating a membrane contactor, which is a more efficient CO2 degassing method, and a higher-sensitivity CO2 analyzer, 90% of the predicted CO2 captured should be recoverable. Using this achievable degassing efficiency, the electrochemical energetic cost is estimated to be 131 kJ mol−1 CO2.
Next, major ionic impurities commonly present in seawater (Mg2+, Ca2+, and K+) were introduced at typical seawater concentrations (Table S2). Our preliminary tests indicated that, after the first cycle, the pH drop on the bismuth side was delayed in the presence of these impurities, with an initial increase in the pH before the expected decrease (Fig S13), which was more significant than the case without impurities. This behavior suggests that a fraction of the acid generated during acidification was consumed prior to bulk acidification. Given that the bulk solution pH was maintained below 10, under which conditions Mg(OH)2 and Ca(OH)2 precipitation should be thermodynamically unfavorable, we propose two possible explanations for this behavior. First, local pH spikes at the electrode surface may transiently exceed the solubility thresholds, forming Mg(OH)2 or Ca(OH)2 that subsequently dissolve during the acidification step, consuming protons and delaying the pH swing. Second, based on the Ksp data (See SI Section 4.3 and Table S4) and the seawater composition (Table S2), the ionic products of MgCO3 and CaCO3 exceed their Ksp values, indicating that their precipitation is thermodynamically favored. Re-dissolution of these transient carbonate phases during acidification would consume protons and increase the charge required for an equivalent pH swing. To mitigate these impurity-driven effects, we implemented a modified operating strategy in which the acidified electrolyte from CO2 degassing was collected and used to wash the cell prior to each acidification step. Alkalization was then carried out using only pristine seawater, rather than the previous approach of mixing acidified and pristine solutions (see Fig. S14). This acid-washing approach reduced the delay in the pH drop and the associated proton consumption, although both remained moderately higher than that under the impurity-free conditions (See Fig. S15). The bismuth-side flow rate was also increased from 35 to 60 ml min−1 to facilitate the removal of transient precipitates and reduce local pH excursions (see Table S3).
Fig. 5 summarizes system performance at 50 ppm Li+ in the presence of impurities, with acid washing (retained from the acidified solution during acidification) implemented between cycles. As anticipated from the preliminary tests, the first cycle exhibited a pH swing similar to that under impurity-free conditions. In subsequent cycles, however, the pH drop on the bismuth side was delayed, showing an initial increase before decreasing (see inset of Fig. 5c). This delay resulted in a higher charge requirement to achieve a comparable pH swing, for example, 9C was required to lower the pH from 7.9 to 4.5 under impurity-free conditions, whereas 12.4C was required under impurity-containing conditions for a similar pH change. In the presence of impurities, bismuth-side charge utilization for the pH swing stabilized at 60% (Fig. 5b). Although this value is lower than the 84% utilization observed without impurities (Fig. 4), it is substantially higher than previously reported values for bismuth electrodes operated with similar impurities at 1 mA cm−2, where utilization declined to 20% by the second cycle and 10% by the fourth cycle.2 These results indicate that acid washing effectively preserves reasonable utilization under impurity-containing seawater conditions.
Throughout cycling, the pH evolution on both the bismuth and lithium sides followed the expected trends, with the bismuth-side pH decreasing from 8.1 to 4.5 during acidification, while the lithium-side pH exhibited negligible change (Fig. S16). During recovery, a slightly alkaline pH was observed on the lithium side (8.6 compared to 7.8 in the absence of impurities (Fig. S19)), which is attributed to the presence of co-intercalated seawater cations that undergo partial de-intercalation during the recovery step. ICP confirmed simultaneous lithium extraction that increased over cycles, yielding an average lithium-side charge utilization of 40%, markedly lower than the 78% obtained in the absence of impurities. The energetic cost calculated for each cycle is shown in Fig. 5b, with averages of 245 kJ mol−1 Li, 399 kJ mol−1 CO2, and 292 kJ mol−1 CO2 when normalized to 90% of the thermodynamically predicted CO2 capture. The increase in energetic cost in the presence of impurities can be understood by analyzing the electrode potential and cell voltages as shown in Fig. 5c and d.
As shown in Fig. 5c, during extraction the lithium intercalation potential shifts to more negative values in the presence of impurities, while the bismuth potential remains largely unchanged. Driving the lithium electrode to these more negative potentials enables co-intercalation of Na+ and other cations in addition to Li+, which explains the reduced lithium utilization observed in Fig. 5b (consistent with Na+ insertion becoming accessible at more negative potentials; Fig. S5). Meanwhile, the acidic environment on the bismuth side during acidification suppresses local hydroxide or carbonate precipitation, allowing an extraction potential on the bismuth side similar to the impurity-free case. During recovery/alkalinization (Fig. 5d), the presence of impurities affects both electrodes. Because less Li+ was intercalated during extraction, while other cations were intercalated, de-intercalation becomes more difficult, leading to a shift to a more positive potential. Simultaneously, the higher pH on the bismuth side during alkalinization increases the likelihood of transient hydroxide/carbonate formation, which perturbs the bismuth potential and increases overpotential. Together, these shifts lead to higher cell voltages and, consequently, increased energetic cost under impurity-containing conditions.
At lower lithium concentrations, the performance trends observed at 50 ppm in the presence of impurities are expected to become even more pronounced (See Fig. S17). To address these challenges, additional modifications were implemented before operating the cell at lower lithium concentrations close to seawater. A voltage-pulsed extraction protocol was introduced to enhance diffusion of reactants to the electrode surface and to remove accumulated reaction products. Prior studies have shown that pulsed operation can improve the selective electrochemical extraction of uranium29 and lithium.12 In the present system, it may also facilitate bismuth oxidation to BiOCl by reducing the diffusion layer thickness for chloride transport to active sites. The applied sequence of pulsed-reverse-pulse protocol (P-RP) consisted of 10 s of constant current, followed by 10 s at open circuit, then 2 s of reverse pulse, and 2 s at open circuit and was only applied to the extraction/acidification step. The recovery/alkalinization step, which is non-spontaneous and energy-requiring, was performed under standard constant-current operation. In addition, based on previous reports demonstrating improved Li+ selectivity with TiO2 modification,12 the lithium electrode was coated with a ≈3 nm TiO2 layer to further suppress co-intercalation of other cations (details in SI Section 4.4).
Fig. 6a shows the system performance at 5 ppm Li+ with 2.1 mM DIC, 0.17 ppm Li+ with 2.1 mM DIC, and 0.17 ppm Li+ with 2.1 mM DIC and added seawater impurities, progressively demonstrating performance as the operating conditions approach those of real seawater. To enable lithium extraction while still achieving the required pH swing at these lower lithium concentrations, we implemented an asymmetric flow operation strategy (eqn (16) and Fig. S18). During extraction/acidification, 250 mL and 7.5 L were processed on the lithium side under the 5 ppm and 0.17 ppm Li+ conditions, respectively, paired with 25 mL on the bismuth side. During recovery and alkalinization, as before, asymmetric volumes (20 mL lithium side; 125 or 100 mL bismuth side based on impurity presence) were used to concentrate lithium and maintain buffering capacity on the bismuth side.
Across all runs in Fig. 6a, pH-swing was successfully coupled with lithium extraction. The bismuth side consistently achieved a pH swing from 8.2 to 4.7 during acidification, while the recovery pH remained below 10 (typically ≈ 9). The lithium-side pH remained relatively unchanged between 6–7.5 throughout all cycles in the absence of impurities and remained at around 9.5 when the impurities are included, since the intercalated impurities are released into the recovery solution, increasing the recovery solution pH (Fig. S19). ICP analysis showed an average lithium utilization of 66%, 54%, and 29% for 5 ppm Li+, 0.17 ppm Li+, and 0.17 ppm Li+ with impurity cases, respectively. The corresponding bismuth utilization based on the pH swing was 77%, 85%, and 60%, respectively.
Energy-dispersive X-ray spectroscopy (EDX) area quantitative analysis (carbon excluded) of the bismuth electrodes before and after operation under seawater-relevant conditions (0.17 ppm Li+, 2.1 mM DIC with impurities) shows pronounced impurity accumulation on the cycled electrode, including 6.0 ± 0.3 at% Mg and 0.7 ± 0.3 at% Ca, which were undetectable in the pristine sample, accompanied by an increase in oxygen atomic percentage by 12.6 ± 1.1 at%. This is consistent with the formation of Mg or Ca precipitates as hydroxide or carbonate during the alkalization step, leading to surface deposition on the Bi electrode. On the lithium electrode, Na (1.7 at%), Mg (1.2 ± 0.1 at%), Ca (1.6 at%), and Cl (0.6 at%) were present only after cycling. Given the intercalation-based operation of this electrode, these species are attributed to a combination of co-intercalation and surface accumulation, rather than pH-driven precipitation. These results indicate that seawater-derived divalent cations, particularly Mg2+, form surface deposits (bismuth side) or intercalate (lithium side) during operation, thereby reducing utilization on both sides of the cell. The acid washing and pulsated operation partially restored performance; however, further improvements, such as pretreatment steps to temporarily bind or remove Mg2+ or Ca2+, may be required for fully integrated seawater operation. To isolate the lithium-extraction performance from impurity impacts, we next operated the system at seawater-level lithium (0.17 ppm Li+) with identical DIC (2.1 mM) but without seawater impurities, and extended cycling to five cycles. Stable utilization values of 85% on the bismuth side and 54% on the lithium side were achieved (Fig. 6d). Consistent pH swings were maintained between 8.1–8.5 to 4.7–5.0 during extraction, with negligible pH change on the lithium side (See SI Section 4.5). The average energetic cost was 121 kJ mol−1 Li, 172 kJ mol−1 CO2, and 128 kJ mol−1 CO2 when normalized to 90% of the thermodynamically predicted CO2 capture (Fig. 6e). To enable direct comparison across all tested conditions, capacity utilization and energetic costs are summarized in Fig. 6d and e, respectively, and the corresponding voltage profiles are overlaid in SI Section 4.6.
As seen in Fig. 6d, across all lithium concentrations, bismuth utilization remains high at 80% when impurities are absent, consistent with the expectation that lithium concentration on the LFP side should not influence the bismuth-side utilization. However, when seawater impurities are introduced, bismuth utilization decreases to 60%, which is still higher than that of the previously reported stand-alone system with the bismuth electrode in the presence of impurities.2 In contrast, lithium utilization decreases from 80% at 50 ppm to 50% at 0.17 ppm, further dropping to 30% when impurities are present. The major performance penalty appears only when impurities are present. The voltage profiles (Fig. S23–S26) corroborate this, showing that voltage losses correlate directly with Mg or Ca-rich conditions rather than low lithium concentration.
Energetically (Fig. 6e), attractive energy costs are obtained for both CO2 release and Li+ extraction, where the dual-function system performs similarly to or better than previously reported stand-alone systems. To contextualize these results, Table 1 compares the energetic performance of this dual-function platform with stand-alone electrochemical carbon capture systems, where protons are generated via water splitting or redox-active species, and lithium extraction systems based on electrochemical intercalation or membrane technologies from saline waters. For a fair comparison, differences in current density, lithium concentration, DIC concentration, and the presence or absence of impurities must be considered. In carbon-capture mode, the most relevant benchmark (excluding architectures requiring precious metal catalysts such as Pt or Ru) is a Bi paired with Ag/AgCl pH-swing system operated at similar DIC and current density,2 where the reported energy cost of 122 kJ mol−1 CO2 closely matches our 128 kJ mol−1 CO2 under the same impurity-free operation. This confirms that adding lithium-extraction functionality does not compromise carbon-capture performance.
| Configuration | Electrode used | Cell voltage E0 (V) | Current density (mA cm−2) | Electrolyte composition (mM) | Net energetic cost, cell, (kJ mol−1)a | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Na+ | Mg2+ | Ca2+ | K+ | Li+ | DIC | Cl− | SO42− | Br− | |||||
| a Net energy of the electrochemical system excluding pumps and other electrical equipment.b Not specified in the paper explicitly.c Reported current density is during extraction. The release was performed at 0.2 mA cm−2.d Reported the first extraction step where seawater is used as a feed. The following cycles used the concentrated lithium solution for further refinement.e Seawater was used, but the anion concentrations were not available.f A constant current of 1.00 mA cm−2 was applied during the recovery/alkalinization step, which is the energy-requiring process. The extraction/acidification step was conducted under pulsed operation. | |||||||||||||
| Carbon dioxide extraction | |||||||||||||
| Bipolar membrane electrodialysis3 | Ti with IrO2–RuO2 coating | 1.64 | 1.24 | 417 | 56.7 | 11.8 | 9.10 | 0.09 | 3.11 | 505 | 14.8 | 1.19 | 242 |
| Bipolar membrane electrodialysis5 | Ti plates with Pt coating | 0.83 | 3.30 | 417 | 56.7 | 11.8 | 9.10 | 0.09 | 3.11 | 505 | 14.8 | 1.19 | 155 |
| Electrochemical hydrogen looping4 | Carbon paper with Pt coating | 0.83 | 8.00 | 502.5 | — | — | — | — | 2.50 | 500 | — | — | 104 |
| Electrochemical asymmetric chloride-mediated2 | Graphite sheet with Bi and Ag coating | 0.07 | 1.00 | 502.5 | — | — | — | — | 2.50 | 500 | — | — | 122 |
| Dual-function electrochemical cell (this work) | Graphite sheet with Bi and LFP coating | 0.20 | 1.00 f | 502 | — | — | — | — | 2.10 | 500 | — | — | 128 |
| 502 | 54.0 | 10.0 | 10.0 | 0.02 | 2.10 | 638 | — | — | 282 | ||||
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| Lithium extraction | |||||||||||||
| Intercalation deionization cell33 | Carbon cloth with & without LFP coating | 0.36 | 0.099 | 3100 | — | 1070 | 540 | 42.0 | — | 5,822b | — | — | 101 |
| Decoupled & membrane-free34 | Ti mesh with LiFePO4 and Ag coating | 0.00 | 2.50 | 73.8 | 2682 | 614 | 34.7 | 6.7 | — | 6599 | — | 108 | 75.8 |
| Fluidic electrochemical extraction35 | MnO2 coated on a graphite plate, and carbon felt | 0.10 | 0.125 | 472 | 54.3 | 9.98 | 8.95 | 1.0 | 2.83 | 550 | 27.7 | 27.7 | 181 |
| Membrane-free extraction from desalination brine32 | Graphite sheet λ-MnO2 and Ag coating | 0.91 | 0.01c | 1146 | 133 | 25.7 | 25.5 | 0.063 | — | 1488 | — | — | 62.5 |
| Three-chamber cell with a glass-type membraned30 | Pt–Ru and hollow fibre Cu | 1.76 | 0.03 | 537 | 64.4 | 12.1 | 19.1 | 0.030 | N/Ae | 653 | |||
| Aqueous-organic cell with lithium-ion exclusive channels31 | NiO coated on carbon cloth and Cu | 1.68 | 0.2 | 409 | 49.8 | N/Ae | 8.52 | 0.028 | 438 | ||||
| Dual-function electrochemical cell (This work) | Graphite sheet with Bi and LFP coating | 0.20 | 1.00f | 500 | — | — | — | 0.024 | — | 500 | — | — | 121 |
| 502 | 54.0 | 10.0 | 10.0 | 0.024 | 2.10 | 638 | — | — | 310 | ||||
For lithium extraction, the closest prior report achieves energetic costs of 65330 and 438 kJ mol−1 Li31 at current densities that are 33-fold and 5-fold lower than those used here, respectively. At our operating current density of 1 mA cm−2, we obtain 121 and 310 kJ mol−1 Li+ under impurity-free and simulated-seawater conditions, respectively, demonstrating substantially lower energetic costs despite the higher operating current density. Although a minimum value of 63 kJ mol−1 Li+ is cited in the table,32 this was achieved at lithium concentrations approximately three times higher and at nearly 100-fold lower current density, highlighting that our energetic performance remains highly competitive. Collectively, these comparisons show that simultaneous CO2 capture and lithium extraction can be achieved within a single saline-water electrochemical system while maintaining energetic efficiencies that meet or exceed those of stand-alone technologies.
Note that LiFePO4 paired with a Bi/BiOCl electrode is used here as a representative material system; however, as lithium-selective host materials and PCET electrodes continue to emerge, they can be readily integrated within this framework. From a deployment perspective, a near-term implementation is expected to employ brine on the lithium side paired with seawater on the carbon capture side, while lithium extraction from dilute sources such as seawater is anticipated to become feasible as more selective materials are developed.12 For any materials selected within this concept, long-term stability remains an important consideration for practical deployment; however, meaningful extended cycling studies require automated laboratory setup. The automation system must coordinate the operation of the potentiostat, pumps, valves, and sensors to control current application based on pH and CO2 sensor feedback while managing electrolyte exchange between brine and recovery solutions on the lithium side, and between acidification and alkalization solutions on the carbon capture side. In addition, automated mixing and acid-washing protocols will be required to mitigate precipitate accumulation and maintain stable long-term continuous cycling. This enables systematic pre- and post-characterization of the electrodes under relevant operating conditions. Finally, the influence of impurities inherent to seawater and brines may be mitigated through impurity-tolerant electrode designs, improved flow-field architectures to suppress local pH spikes, or targeted pretreatment of the source water prior to the electrochemical operation.
Under impurity-free conditions, the system maintains 80% bismuth utilization and 50% lithium utilization, with energetic costs of 128 kJ mol−1 CO2 and 121 kJ mol−1 Li+, respectively, comparable to or exceeding the performance of previously reported stand-alone systems without reliance on precious-metal catalysts. When benchmarked under more challenging impurity-containing conditions, the system remains highly competitive, achieving 282 kJ mol−1 CO2 and 310 kJ mol−1 Li+ at an operating current density of 1 mA cm−2, compared to prior reports that require substantially lower current densities to reach similar performance.
Future work should focus on improving the selectivity of lithium host electrodes toward Li+, particularly for dilute sources such as seawater, and on developing fully automated laboratory setups to enable long-term operation of selected material systems. Tolerance to impurities present in brines and seawater will also be critical and may be addressed through the design of impurity-tolerant electrodes or through targeted pretreatment of saline feedwaters prior to electrochemical operation. Beyond the specific material system examined here, this work introduces a broader way of thinking about electrochemical carbon capture systems. From the perspective of carbon capture technologies, coupling CO2 capture with lithium extraction introduces an additional co-value stream and an opportunity to generate revenue directly at the capture stage. From the perspective of lithium recovery, integration with a comparatively more mature carbon capture framework broadens potential deployment pathways by increasing the overall incentive to pursue lithium extraction technologies.
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![]() | (19) |
Integrating the CO2 molar flowrate above the baseline over time yields the total moles of CO2 released and detected by the sensor (nCO2).
![]() | (20) |
485C mol−1 of e−) and the experimental charge transferred was calculated. The equation used is:
![]() | (21) |
![]() | (22) |
![]() | (23) |
![]() | (24) |
Raw experimental data and source code generated during this study have been deposited in Zenodo and are available at https://doi.org/10.5281/zenodo.20752843.
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