ABSTRACT
Gas diffusion electrodes (GDEs) mediate the transport of reactants, products and electrons for the electrocatalytic CO2 reduction reaction (CO2RR) in membrane electrode assemblies. The random distribution of ionomer, added by the traditional physical mixing method, in the catalyst layer of GDEs affects the transport of ions and CO2. Such a phenomenon results in elevated cell voltage and decaying selectivity at high current densities. This paper describes a pre-confinement method to construct GDEs with homogeneously distributed ionomer, which enhances mass transfer locally at the active centers. The optimized GDE exhibited comparatively low cell voltages and high CO Faradaic efficiencies (FE > 90%) at a wide range of current densities. It can also operate stably for over 220 h with the cell voltage staying almost unchanged. This good performance can be preserved even with diluted CO2 feeds, which is essential for pursuing a high single-pass conversion rate. This study provides a new approach to building efficient mass transfer pathways for ions and reactants in GDEs to promote the electrocatalytic CO2RR for practical applications.
Keywords: CO2 electroreduction, gas diffusion electrode, mass transfer, ionomer, Ag catalyst
This paper describes a method of constructing gas diffusion electrodes for electrochemical CO2 reduction reaction with uniformly distributed ionomer. The obtained electrodes exhibit a high performance as a result of the enhanced mass transfer of ions and reactant.
INTRODUCTION
The electrocatalytic CO2 reduction reaction (CO2RR) is an eminently attractive technology for converting CO2 into value-added products using renewable energy (e.g. solar and wind energy) [1–4]. To meet the requirements of industrial applications, it is necessary to develop efficient electrolyzers [5,6]. Membrane electrode assemblies (MEAs) based on gas diffusion electrodes (GDEs) have been widely studied in recent years [7]. The configuration of the MEA not only overcomes the mass transfer limitations in the H-cell but also eliminates the use of cathode electrolyte to mitigate the full cell resistance and improve stability [8,9]. GDEs, as one of the important components in the MEA, are porous electrodes that support catalysts. Generally, a GDE consists of a catalyst layer (CL) and a gas diffusion layer (GDL) [10–12]. The CL is the main place for the catalytic reaction, which normally includes the catalyst to provide the active centers, the catalyst carrier serving as the support, and the ionomer. The ionomer, composed of polymer backbones and hydrophilic groups [13–15], affects the transport of ions and reactants at the catalyst surface, thus impacting the performance of the GDEs [16,17]. Therefore, the ionomer plays an important role during catalytic processes. In order to enhance the electrocatalytic CO2RR, the ionomer in the CL should be better homogeneously distributed, which can both prevent catalyst agglomeration and ensure rapid mass transfer [17,18].
Normally, there are two main ways of adding the ionomer to the CL. One is the coating of ionomer onto the CL, which is carried out via ink-free methods (e.g. electrodeposition, sputter and ion-beam deposition approaches) [19–22]. However, the inhomogeneous distribution of the ionomer only on the surface of the CL increases ion transport resistance, leading to deteriorated catalytic performance. The other way of adding the ionomer to the CL is via physical mixing of ionomer into the catalyst ink, which is then coated onto the GDL mainly through drop-casting, hand-painting or spray-coating processes [23,24]. Ink-based approaches are widely adopted due to their advantages of simplicity, flexibility and scalability, which are more suitable for particle catalysts [19,23,25]. However, due to the weak interaction between the catalyst and ionomer in the ink, GDEs obtained by these methods suffer from the random distribution of ionomer. Ionomer aggregation at certain positions in a GDE would lead to high local resistance to mass transfer. At the same time, active centers that are not covered by ionomer might not function properly due to the lack of ion transfer paths [10,26–28]. Thus, effective regulation of the homogeneity of ionomer is essential to promote catalytic performance.
Uniform distribution of ionomer could be achieved by tuning the solvent used in the catalyst ink. Berlinguette et al. found that the use of ethanol as ink solvent would facilitate moderate aggregation of ionomer, which in turn optimized its presence in the CL [29]. The obtained GDE possessed promoted selectivity of CO. Improving the interaction between the catalyst carrier and the ionomer can alleviate the aggregation of the ionomer. Strasser et al. proposed that the introduction of pyridine/pyrrole functional groups containing N elements on catalyst carriers enhanced their interaction with ionomer. This method promoted the spatial distribution of the ionomer, which improved the efficiency of catalyst utilization and increased the power density of the GDEs [27]. In addition, the optimized allocation of ionomer can be achieved by the modification of ionomer. Yan et al. tuned the electrostatic repulsion in the ionomer by optimizing the spacing distance of cationic groups in the ionomer backbone, which regulates the electrostatic repulsion and Van der Waals forces between the ionomer and catalyst. This method prevented the agglomeration of catalyst particles by promoting the distribution of ionomer within the CL, and improved the catalytic activity [17]. Despite the efforts devoted to tuning the presence of ionomer, a more proactive and controllable approach is still needed to further optimize the distribution of ionomer to achieve good performance for the practical application of CO2RR systems.
Although there are a lot of works carried out on GDEs modification nowadays, those electrodes made by spraying still suffer from non-uniform distribution of ionomer. Herein, an ionomer pre-confinement method is developed. Specifically, ionomer was introduced during the synthetic process of electrocatalysts, leading to the formation of ionomer-confined electrocatalysts for the construction of GDEs. This method improves the homogeneity of ionomer distribution, building efficient mass transfer pathways. On the one hand, it makes the distribution of pores on the GDEs more average and avoids the high local mass transfer resistance caused by ionomer accumulation, which enhances CO2 transport and improves the catalytic performance. On the other hand, it also ensures the successful occurrence of the reaction at the catalytic site and facilitates ion transport within the CL. The promoted CO2 mass transfer would lead to a high CO Faradaic efficiency (FE) of over 90% even at a high current density of 600 mA cm−2. The enhanced ion transport could result in a decrease in cell voltage (∼3.3 V at 300 mA cm−2). In addition, these optimizations also enable the preservation of high selectivity at relatively low CO2 concentrations. The optimized electrodes also achieve stable catalysis at a current density of 300 mA cm−2 for >220 h.
RESULTS AND DISCUSSION
Synthesis and structural characterization of Ag@ionomer and Ag/ionomer catalysts
Pre-confinement of ionomer was realized by adding PiperION-A5-HCO3 anion exchange resin during the synthesis of Ag through the traditional colloidal method (see the Supplementary Data for more details) [30,31]. The electrocatalyst obtained after drying at room temperature is defined as Ag@ionomer (Fig. 1a and Supplementary Fig. 1a). The control sample prepared by physically mixing the ionomer and Ag particles (synthesized by the colloidal method [32], Supplementary Figs 1b and 2) is defined as Ag/ionomer. The Ag@ionomer and Ag/ionomer samples possess similar Ag particle sizes mainly due to the use of the same strong reductant and stabilizer [33,34]. A thin layer of ionomer around the Ag particles can be observed in the transmission electron microscope (TEM) images of Ag@ionomer (Fig. 1b and c). The electron dispersive X-ray spectroscopy (EDS) mappings also demonstrate the uniform distribution of ionomer around the catalyst (Fig. 1d). In addition, the Fourier transformed infrared spectroscopy (FT-IR) spectrum of Ag@ionomer shows peaks consistent with pure ionomer (Fig. 1e), revealing the presence of ionomer in its intrinsic form in the Ag@ionomer. X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) results indicate that the ionomer does not affect the physicochemical properties of Ag (Fig. 1f and g). Thermogravimetric analysis (TGA) shows that Ag@ionomer and Ag/ionomer possess similar contents of ionomer (i.e. 15 wt%, Supplementary Fig. 3). Differential thermal analysis (DTA) reveals that Ag@ionomer has a higher decomposition temperature than Ag/ionomer and pure ionomer (Fig. 1h). The similar decomposition temperatures of Ag/ionomer and ionomer may be due to the fact that Ag/ionomer is prepared by physical mixing, which leads to only weak interaction by van der Waals force between Ag and ionomer. The higher decomposition temperature indicates the strong interaction between the catalyst and the ionomer in the pre-confined Ag@ionomer electrocatalyst [35,36].
Figure 1.
(a) Schematic illustration of the Ag@ionomer. (b and c) TEM images of Ag@ionomer. (d) High-angle annular dark-field scanning transmission electron microscopy image and EDS mapping images of Ag@ionomer. (e) FT-IR spectrum of pure ionomer and Ag@ionomer. (f) XRD patterns of the Ag nanoparticles and Ag@ionomer. (g) XPS spectra of the Ag/ionomer and Ag@ionomer. (h) DTA of ionomer, Ag/ionomer and Ag@ionomer.
Fabrication and activity evaluation of GDEAg@ionomer and GDEAg/ionomer
Subsequently, different GDEs were prepared by airbrushing varied catalyst inks onto carbon GDLs (Supplementary Fig. 4). GDEAg@ionomer and GDEAg/ionomer were prepared using the inks with Ag@ionomer and Ag/ionomer dissolved in a mixed solution of isopropyl alcohol and water, respectively (Supplementary Fig. 5). The electrocatalytic performance of the cells was tested in a 4 cm2 MEA at room temperature (∼25oC) in the galvanostatic mode (Fig. 2a) [37]. The products were analyzed by gas chromatography (GC). According to the results of activity tests for GDEAg@ionomer and GDEAg/ionomer with different contents of ionomer (Fig. 2 and Supplementary Figs 6–8), the optimal CO2RR performance is achieved when the ionomer content is moderate (∼15 wt%), with the thickness of the ionomer layer on the catalyst surface being ∼1.5 nm (Supplementary Fig. 9). The tests of GDEs with optimized ionomer content indicate that GDEAg@ionomer exhibits a lower cell voltage and higher energy efficiency than GDEAg/ionomer (Fig. 2b and c). In addition to the relatively low cell voltage, GDEAg@ionomer also possesses a higher selectivity towards CO (over 90% even at 600 mA cm−2) than the GDEAg/ionomer (Fig. 2d and e). In order to confirm the source of the products, the composition of CO2 feedstock was first checked. The results showed that the feedstock only contained CO2 (Supplementary Fig. 10). Subsequently, a control experiment under Ar atmosphere was conducted (Supplementary Fig. 11). When the Ar atmosphere was used, it was found that no carbon-based species were produced. Therefore, it can be determined that CO is generated by the reduction of CO2. The stability of the GDEs was tested at a constant current density of 300 mA cm−2 (Fig. 2f and Supplementary Fig. 12). In this process, a humidified CO2 feedstock with a relative humidity of ∼100% was used, which means that the CO2 first passed through a humidification tank containing ultrapure water (at ∼25oC) before being fed into the reactor. In the stability test, GDEAg@ionomer achieved stable operation for >220 h with the FE for CO maintained above 75%. The full cell voltage kept constant at ∼3.2 V with a full cell energy efficiency of ∼32% (Fig. 2f). The CO FE first decreased and then became constant, which is probably due to the water management problem [38–40]. As the reaction proceeds, the generation of salt on the electrodes due to the locally generated OH− makes the electrode progressively hydrophilic (Supplementary Fig. 13). Thus, the electrode becomes over humidified and hydrogen-evolution-reaction (HER) dominated, leading to the decrease of CO FE. Subsequently, the water mass transfer in the reactor reached a balanced state, which in turn maintained the CO FE at a certain level without further decrease. In response to this problem, further investigations (e.g. hydrothermal management of the reaction system, anodic gaseous reactant oxidation) are needed in the future to achieve better system stability. Furthermore, no morphological or structural change was observed for the GDEs after the stability tests (Fig. 3a–d and Supplementary Fig. 14).
Figure 2.

(a) 2D and 3D views of the MEA electrolyzer. (b and c) Cell voltages and full cell energy efficiencies of MEAs with GDEAg@ionomer and GDEAg/ionomer as the GDE at different current densities. FEs for CO and H2 over (d) GDEAg/ionomer and (e) GDEAg@ionomer in the MEA. (f) Stability test of GDEAg@ionomer at a current density of 300 mA cm−2.
Figure 3.
SEM images of (a and b) GDEAg@ionomer and (c and d) GDEAg/ionomer. FIB-SEM and corresponding EDS mapping images (scale bars: 2 μm) of (e) GDEAg@ionomer and (f) GDEAg/ionomer.
To examine whether the prevention of aggregation in Ag@ionomer is the key, an Ag+ionomer sample was prepared by adding ionomer after the reduction of the silver precursor in a typical synthesis of Ag nanoparticles before the centrifugation. In Ag+ionomer, Ag nanoparticles and ionomer are segregated with weak interaction (Supplementary Fig. 15). At the same time, the Ag nanoparticles are well dispersed without aggregation. The performance of GDEAg+ionomer was far worse than that of the GDEAg@ionomer, which is comparable with that of the GDEAg/ionomer (Supplementary Fig. 16). These results suggest that the prevention of aggregation in the Ag@ionomer may not be the main reason for its improved performance.
The good performance of GDEAg@ionomer may be ascribed to the uniform distribution of ionomer as a result of the pre-confinement method. Homogeneously distributed ionomer in the CL may provide more efficient ion transport paths and facilitate the transfer of ions generated at the reaction sites to the anode, which would reduce cell voltage and increase full cell energy efficiency. In addition, the transfer of CO2 could be promoted by avoiding local mass transfer resistance caused by ionomer accumulation. This phenomenon would allow easy access for CO2 at the active sites and improve the local CO2 concentration [41]. CO2 surface coverage of the catalyst is directly related to the local CO2 concentration, which enhances the selectivity of CO at high current densities.
Structural characterization of GDEAg@ionomer and GDEAg/ionomer
In order to verify this hypothesis, we first exclude the possibility that the intrinsic activities of the Ag electrocatalyst in GDEAg@ionomer and GDEAg/ionomer are different by Tafel analysis (Supplementary Figs 17 and 18, and Supplementary Table 1) [42,43]. The almost identical exchange current density and Tafel slopes of these two electrodes can provide comparable kinetic data, which indicates that the improvement of the catalytic performance of GDEAg@ionomer could be attributed to the structural benefits [44–46]. As revealed by a scanning electron microscope (SEM), the GDEAg@ionomer electrode has a more pronounced porous structure than the GDEAg/ionomer (Fig. 3a–d), which may be explained by the uniform distribution of ionomer in the GDEAg@ionomer. To better reveal the distribution of ionomer within the CL, focused ion beam SEM (FIB-SEM) characterization with EDS mapping was performed (Fig. 3e and f, and Supplementary Fig. 19) [47]. The results show that GDEAg@ionomer reserves the porous structure throughout the CL without significant ionomer aggregation, while the ionomer accumulates at the surface of GDEAg/ionomer. The optimized ionomer distribution in GDEAg@ionomer can also be reflected by the pore size distributions of the electrodes [48]. As revealed by mercury intrusion porosimetry (MIP) experiments (Supplementary Fig. 20) [49], GDEAg@ionomer has a more concentrated pore size distribution than GDEAg/ionomer. The mutual verification between the results of MIP and FIB-SEM shows that homogeneous distribution of ionomer in GDEAg@ionomer avoids the blocking of pores caused by the enrichment of ionomer at the surface of GDEAg/ionomer.
Promoting mechanism of uniformly distributed ionomer in GDEAg@ionomer
The structural characterizations above show that this GDE using the ionomer-confined electrocatalyst optimizes the distribution of ionomer within the CL, building effective ion paths around the catalytic sites (Fig. 4a). To prove that the uniformly distributed ionomer would enhance the ion transport, electrochemical impedance spectroscopy (EIS) tests were performed under operating conditions. The equivalent circuit to which the EIS data were adapted is shown in Fig. 4b, where Rs represents internal resistance,
represents charge transfer resistance,
represents the sum of cathode and anode electrode capacitance, and Rd represents Nernst diffusion impedance [50]. The values of the components in the equivalent circuit are shown in Supplementary Table 2. The high-frequency impedance is obtained by measuring across the entire cell in the two-electrode mode, where the difference is considered to be possibly derived from the cathode part [51]. The results indicate that GDEAg@ionomer has a lower charge transfer resistance and a lower diffusion impedance than GDEAg/ionomer (Fig. 4b). With regard to the electron transfer within the GDEAg@ionomer, the negative effect of the ionomer distributed around the catalyst on the electron transfer cannot be denied. However, when there is a thin ionomer layer between catalysts, electrons can still be conducted through a tunneling effect [52,53]. In addition, the catalysts are not completely isolated from each other, which provides pathways for electron transport within the catalyst layer (Fig. 1b). Therefore, the electron transport probably has a minor effect on the successful occurrence of the reaction within the CL. The relatively low diffusion impedance indicates a rapid transfer of reactants and products in the GDEAg@ionomer. Since the ions were generated during the electrochemical CO2RR, the well-dispersed ionomer within the CL could facilitate ion transport to reduce the resistance of its diffusion processes [17,51].
Figure 4.

(a) Schematic diagram of the GDEAg@ionomer and GDEAg/ionomer. (b) Nyquist plots of the impedance related to the electrode. (c and d) Effect of CO2 partial pressure on the CO2RR performance of GDEAg/ionomer (c) and GDEAg@ionomer (d). (e) FEs for CO and H2 over GDEAg@ionomer in the tandem reactor system at different current densities.
In order to prove that the homogeneous distribution of ionomer in the CL can reduce the mass transfer resistance of CO2, an activity evaluation using CO2 feeds diluted with inert Ar (with CO2 concentration down to 20 vol%, see the Supplementary Data for more details) was performed. With a decrease of CO2 concentration to 40 vol%, no significant degradation of CO FE was observed for GDEAg@ionomer at a current density of 300 mA cm−2 (Fig. 4c). The CO FE of GDEAg@ionomer is still ∼70% when the CO2 concentration is reduced to 20 vol%. However, the CO FE of GDEAg/ionomer showed a rapid decreasing trend (Fig. 4d). These results indicate that the homogeneous distribution of ionomer around the catalyst reduces the mass transfer resistance of CO2 and improves the utilization efficiency of the active sites. A slight increase in cell voltage can be noticed with a decrease in CO2 concentration (Supplementary Fig. 21). For further proof of the enhanced CO2 mass transfer, the concentration of CO2 within the CL was tracked based on a reaction-diffusion model (Supplementary Fig. 22, see the Supplementary Data for more details). Based on the test results of FIB-SEM and SEM, two porous models with different pore distributions were established to represent the CLs. The GDEAg@ionomer model exhibits a higher local CO2 concentration than GDEAg/ionomer after providing the models with the same CO2 feedstock and current density, which indicates that a more uniform pore distribution facilitates CO2 transport within the CL. Therefore, this result further proves that the electrode with uniform distribution of ionomer made by the pre-confinement method has lower mass transfer resistance, promoting the mass transfer of CO2 within the CL and increasing the local CO2 concentration.
Based on the good performance of GDEAg@ionomer at low CO2 concentrations, a tandem reactor system was built to improve the single-pass conversion of CO2. By connecting three MEAs in series, the highest outlet concentration of CO is nearly 71 vol% at a current density of 300 mA cm−2 (Fig. 4e). The cell voltages of the three reactors are almost identical at the same current density (Supplementary Fig. 23). To evaluate the universality of this method, another ionomer, i.e. Fumion FAA-3, was examined using this pre-confinement method. During the activity test, the ion exchange membrane was replaced with the matching FAA-3–50. According to the results of activity evaluation (Supplementary Fig. 24), the obtained electrode (GDEAg@ionomer (FAA)) also exhibited promoted activity compared with that prepared by the conventional method (GDEAg/ionomer (FAA)). This pre-confinement method has the potential to be adopted by more systems.
CONCLUSION
In summary, a pre-confinement method is developed to construct GDEs with homogeneously distributed ionomer in the CL for enhancing mass transfer during the electrochemical CO2RR. The uniform ionomer builds paths for the promoted transport of ions, leading to reduced cell voltage, which also facilitates the mass transfer of CO2. As a result, easy access to CO2 at the active centers would contribute to a high CO FE of over 90% even at a high current density of 600 mA cm−2, with the ability to achieve high CO2 conversion rates. Moreover, the obtained GDEAg@ionomer exhibited good stability for more than 220 h at a current density of 300 mA cm−2. Considering the high energy conversion efficiency, the high CO FE at high current densities and the good stability, this GDEAg@ionomer has the potential to realize the electrochemical CO2RR in practical applications.
METHODS
Materials
AgNO3 (99.8%) and NaOH (99%) were purchased from Aladdin Industrial Co. Ltd. Cs2CO3 (99.9%), isopropyl alcohol (≥99.5%) and ethanol (HPLC, ≥99.8%) were purchased from Macklin Biochemical Co. Ltd. Sodium citrate anhydrous (99%) was purchased from J&K Scientific Ltd. L (+) − Ascorbic acid (≥99.7%) was purchased from Tianjin Kemiou Chemical Reagent Co. Ltd. All chemical reagents were utilized without further purification. Commercially available carbon-based GDLs (AvCarb GDS3250) were purchased from Xima Laya Photo-Electric Technology Co. Ltd., China. PiperION-A5-HCO3 anion exchange resin, Fumion FAA anion exchange resin, PiperION-A15-HCO3 and FAA-3-50 were purchased from SCI Materials Hub. CO2, N2, Ar and H2 were all purchased from Air Liquide (≥99.999%). The ultrapure water (18.25 MΩ·cm) was supplied by a Millipore Direct-Q5 UV water purification system.
Catalyst synthesis
Ag nanoparticles were synthesized by using L (+) − Ascorbic acid as the reductant and sodium citrate anhydrous as the stabilizer [32]. Ag@ionomer nanoparticles were prepared under the same conditions. The difference was that 0.045 g of PiperION anion exchange resin was first dissolved in 30 mL of ethanol and mixed with the AgNO3 solution before being added to the reducing agent solution.
Fabrication of electrodes
For the preparation of electrodes, 65 mg of Ag nanoparticles with 0.23 g of 5 wt% ionomer solution were dispersed in 4 mL of isopropyl alcohol and 4 mL of water to form Ag catalyst ink. After 1 h of sonication, the catalyst ink was sprayed onto 25 cm2 carbon paper to fabricate GDEAg/ionomer. GDEAg@ionomer was also prepared in a similar manner with the catalyst ink consisting of 65 mg of Ag@ionomer catalyst, 4 mL of isopropyl alcohol and 4 mL of water. During the preparation of GDEs, a hotplate and infrared lamp were used to accelerate the evaporation of the solvent.
CO2RR performance test in the MEA
The homemade 4 cm2 MEA (Gaossunion Co. Ltd.) consists of a GDE, an anion exchange membrane (PiperION-A15-HCO3, SCI Materials Hub) and an IrRu/Ti anode. The PiperION ion-exchange membrane (15 μm, without polytetrafluoroethylene (PTFE)-reinforced) was mounted between a cathode GDE and an IrRu-coated Ti mesh anode, with the CL of the GDE oriented towards the membrane [35]. During the testing process, 0.1 M Cs2CO3 solution served as the anolyte and the humidified CO2 flow (relative humidity ∼100%), controlled by the mass flow meter, was supplied to the cathode which had an inlet flow rate controlled at 50 sccm. Since CO2 at the cathode can react with OH− to form HCO3−/CO32−, another mass flow meter was used to detect the outlet gas flow rate in order to ensure the accuracy of the gas product selectivity calculation. A fresh GDE, IrRu/Ti anode and anion exchange membrane were used for each electrocatalytic test.
Characterization
The phase structures were characterized by XRD (Bruker, D8-Focus, Cu Kα radiation) at 40 kV and 40 mA. SEM micrographs were acquired using a Hitachi S-4800 focused ion beam SEM with an accelerating voltage of 5 kV. TEM images were taken on a JEOL JEM-2100F operated at an acceleration voltage of 200 kV. XPS measurements were performed on a Physical Electronics PHI 1600 ESCA system with an excitation source of Al Kα = 1486.6 eV.
Supplementary Material
Contributor Information
Xiaowei Du, School of Chemical Engineering and Technology, Key Laboratory for Green Chemical Technology of the Ministry of Education, Tianjin University, Tianjin, 300072, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China.
Peng Zhang, School of Chemical Engineering and Technology, Key Laboratory for Green Chemical Technology of the Ministry of Education, Tianjin University, Tianjin, 300072, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China; National Industry-Education Platform of Energy Storage, Tianjin University, Tianjin, 300350, China.
Gong Zhang, School of Chemical Engineering and Technology, Key Laboratory for Green Chemical Technology of the Ministry of Education, Tianjin University, Tianjin, 300072, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China.
Hui Gao, School of Chemical Engineering and Technology, Key Laboratory for Green Chemical Technology of the Ministry of Education, Tianjin University, Tianjin, 300072, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China.
Lili Zhang, School of Chemical Engineering and Technology, Key Laboratory for Green Chemical Technology of the Ministry of Education, Tianjin University, Tianjin, 300072, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China.
Mengmeng Zhang, School of Chemical Engineering and Technology, Key Laboratory for Green Chemical Technology of the Ministry of Education, Tianjin University, Tianjin, 300072, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China.
Tuo Wang, School of Chemical Engineering and Technology, Key Laboratory for Green Chemical Technology of the Ministry of Education, Tianjin University, Tianjin, 300072, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China; National Industry-Education Platform of Energy Storage, Tianjin University, Tianjin, 300350, China; Joint School of the National University of Singapore and Tianjin University, International Campus of Tianjin University, Fuzhou, 350207, China.
Jinlong Gong, School of Chemical Engineering and Technology, Key Laboratory for Green Chemical Technology of the Ministry of Education, Tianjin University, Tianjin, 300072, China; Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin, 300072, China; Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300192, China; National Industry-Education Platform of Energy Storage, Tianjin University, Tianjin, 300350, China.
Funding
This work was supported by the National Key R&D Program of China (2021YFA1501503), the National Natural Science Foundation of China (22121004, 22038009, 22250008 and 22108197), the Haihe Laboratory of Sustainable Chemical Transformations (CYZC202107), the Program of Introducing Talents of Discipline to Universities (BP0618007) and the Xplorer Prize.
Author contributions
J.G. supervised the research. X.D., P.Z. and J.G. conceived the ideas and designed the experiments. X.D., G.Z., H.G. and M.Z. performed the experiments, device fabrication, electrochemical measurements, materials characterization and data analysis. L.Z. performed the mass transport simulations. X.D., P.Z., and J.G. wrote the manuscript. All authors discussed the experiments and commented on the manuscript.
Conflict of interest statement. None declared.
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