The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.
Engineering the Local Microenvironment over Bi Nanosheets for Highly Selective Electrocatalytic Conversion of CO2 to HCOOH in Strong Acid
Abstract
The extensive deployment of the electrocatalytic CO 2 reduction reaction (CO 2 RR) is presently limited by the utilization of alkaline/neutral electrolytes in which carbonate formation severely reduces the carbon efficiency and electrolysis stability. By contrast, the CO 2 RR in a strong acid electrolyte can overcome these shortcomings, yet the hydrogen evolution reaction (HER) greatly outcompetes the CO 2 RR in acidic media. Herein, CO 2 reduction to HCOOH, a significant chemical intermediate in many industrial processes, was realized in strong acid (pH ≤ 1) through introducing K + cations into the electrolyte. The K + -assisted acidic CO 2 RR accordingly manufactured HCOOH with a high Faradaic efficiency of 92.2% @–1.23 V RHE and a commercially relevant current density of −237.1 mA cm –2 . More importantly, a high single-pass carbon efficiency of 27.4% for HCOOH production was demonstrated in acid, which exceeded the value obtained in the alkaline CO 2 RR. Further mechanistic studies demonstrated that K + can engineer the local microenvironment over the Bi catalyst surface by reducing the proton coverage to suppress the competing HER and creating local interaction to stabilize the *OCOH intermediate, which ultimately promotes high-efficiency CO 2 conversion to HCOOH in strong acidic media.
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Cites
Combining theory and experiment in electrocatalysis: Insights into materials design
Seh, Z. W., Kibsgaard, J., Dickens, C. F., Chorkendorff, I., Nørskov, J. K., & Jaramillo, T. F. (2017) · Science · doi:10.1126/science.aad4998 · Cited by 12,114
Progress and perspectives of electrochemical CO2 reduction on copper in aqueous electrolyte
Nitopi, S., Bertheussen, E., Scott, S. B., Liu, X., Engstfeld, A. K., Horch, S., Seger, B., Stephens, I. E. L., Chan, K., Hahn, C., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00705 · Cited by 5,223
Designing the next generation of proton-exchange membrane fuel cells
Jiao, K., Xuan, J., Du, Q., Bao, Z., Xie, B., Wang, B., Zhao, Y., Fan, L., Wang, H., Hou, Z., et al. (2021) · Nature · doi:10.1038/s41586-021-03482-7 · Cited by 2,947
A Process for Capturing CO2 from the Atmosphere
Keith, D. W., Holmes, G., St. Angelo, D., & Heidel, K. (2018) · Joule · doi:10.1016/j.joule.2018.05.006 · Cited by 1,910
Electrochemical CO2 Reduction on Metal Electrodes
Hori, Y. (2008) · Modern Aspects of Electrochemistry · doi:10.1007/978-0-387-49489-0_3 · Cited by 1,868
General Techno-Economic Analysis of CO 2 Electrolysis Systems
Jouny, M., Luc, W., & Jiao, F. (2018) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.7b03514 · Cited by 1,628
Rational catalyst and electrolyte design for CO2 electroreduction towards multicarbon products
Gao, D., Arán-Ais, R. M., Jeon, H. S., & Roldan Cuenya, B. (2019) · Nature Catalysis · doi:10.1038/s41929-019-0235-5 · Cited by 1,489
CO 2 electrolysis to multicarbon products in strong acid
Huang, J. E., Li, F., Ozden, A., Sedighian Rasouli, A., García de Arquer, F. P., Liu, S., Zhang, S., Luo, M., Wang, X., Lum, Y., et al. (2021) · Science · doi:10.1126/science.abg6582 · Cited by 1,359
Molecular tuning of CO2-to-ethylene conversion
Li, F., Thevenon, A., Rosas-Hernández, A., Wang, Z., Li, Y., Gabardo, C. M., Ozden, A., Dinh, C. T., Li, J., Wang, Y., et al. (2020) · Nature · doi:10.1038/s41586-019-1782-2 · Cited by 1,275
Monteiro, M. C. O., Dattila, F., Hagedoorn, B., García-Muelas, R., López, N., & Koper, M. T. M. (2021) · Nature Catalysis · doi:10.1038/s41929-021-00655-5 · Cited by 1,002
Hydrolysis of Electrolyte Cations Enhances the Electrochemical Reduction of CO 2 over Ag and Cu
Singh, M. R., Kwon, Y., Lum, Y., Ager, J. W., & Bell, A. T. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b07612 · Cited by 985
Han, N., Wang, Y., Yang, H., Deng, J., Wu, J., Li, Y., & Li, Y. (2018) · Nature Communications · doi:10.1038/s41467-018-03712-z · Cited by 914
Hao, Y.-C., Guo, Y., Chen, L.-W., Shu, M., Wang, X.-Y., Bu, T.-A., Gao, W.-Y., Zhang, N., Su, X., Feng, X., et al. (2019) · Nature Catalysis · doi:10.1038/s41929-019-0241-7 · Cited by 860
The future of low-temperature carbon dioxide electrolysis depends on solving one basic problem
Rabinowitz, J. A., & Kanan, M. W. (2020) · Nature Communications · doi:10.1038/s41467-020-19135-8 · Cited by 658
Ma, M., Clark, E. L., Therkildsen, K. T., Dalsgaard, S., Chorkendorff, I., & Seger, B. (2020) · Energy & Environmental Science · doi:10.1039/d0ee00047g · Cited by 516
Stability and Degradation Mechanisms of Copper‐Based Catalysts for Electrochemical CO2 Reduction
Popović, S., Smiljanić, M., Jovanovič, P., Vavra, J., Buonsanti, R., & Hodnik, N. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202000617 · Cited by 515
Bismuthene for highly efficient carbon dioxide electroreduction reaction
Yang, F., Elnabawy, A. O., Schimmenti, R., Song, P., Wang, J., Peng, Z., Yao, S., Deng, R., Song, S., Lin, Y., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14914-9 · Cited by 508
Catalyst–electrolyte interface chemistry for electrochemical CO2 reduction
Sa, Y. J., Lee, C. W., Lee, S. Y., Na, J., Lee, U., & Hwang, Y. J. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00030b · Cited by 468
Cao, C., Ma, D., Gu, J., Xie, X., Zeng, G., Li, X., Han, S., Zhu, Q., Wu, X., & Xu, Q. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202005577 · Cited by 417
Jiao, S., Fu, X., Wang, S., & Zhao, Y. (2021) · Energy & Environmental Science · doi:10.1039/d0ee03635h · Cited by 399
Efficiency and selectivity of CO2 reduction to CO on gold gas diffusion electrodes in acidic media
Monteiro, M. C. O., Philips, M. F., Schouten, K. J. P., & Koper, M. T. M. (2021) · Nature Communications · doi:10.1038/s41467-021-24936-6 · Cited by 379
Wu, Z., Wu, H., Cai, W., Wen, Z., Jia, B., Wang, L., Jin, W., & Ma, T. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202102832 · Cited by 354
Suppression of Hydrogen Evolution in Acidic Electrolytes by Electrochemical CO2 Reduction
Bondue, C. J., Graf, M., Goyal, A., & Koper, M. T. M. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.0c10397 · Cited by 352
Address the “alkalinity problem” in CO2 electrolysis with catalyst design and translation
Chen, C., Li, Y., & Yang, P. (2021) · Joule · doi:10.1016/j.joule.2021.02.008 · Cited by 258
Gusmão, R., Sofer, Z., Bouša, D., & Pumera, M. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201706389 · Cited by 254
Vennekoetter, J.-B., Sengpiel, R., & Wessling, M. (2019) · Chemical Engineering Journal · doi:10.1016/j.cej.2019.01.045 · Cited by 230
Zhang, M., Wei, W., Zhou, S., Ma, D.-D., Cao, A., Wu, X.-T., & Zhu, Q.-L. (2021) · Energy & Environmental Science · doi:10.1039/d1ee01495a · Cited by 224
Zhang, X., Li, J., Li, Y.-Y., Jung, Y., Kuang, Y., Zhu, G., Liang, Y., & Dai, H. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.0c13427 · Cited by 213
Rigorous assessment of CO2 electroreduction products in a flow cell
Niu, Z.-Z., Chi, L.-P., Liu, R., Chen, Z., & Gao, M.-R. (2021) · Energy & Environmental Science · doi:10.1039/d1ee01664d · Cited by 181
Yi, L., Chen, J., Shao, P. H., Huang, J., Peng, X., Li, J., Wang, G., Zhang, C., & Wen, Z. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202008316 · Cited by 148
Pore-structure-directed CO 2 electroreduction to formate on SnO 2 /C catalysts
He, Y., Jiang, W., Zhang, Y., Huang, L., & Hu, J. (2019) · Journal of Materials Chemistry A · doi:10.1039/c9ta05937g · Cited by 83
Zou, J., Lee, C., & Wallace, G. G. (2021) · Advanced Science · doi:10.1002/advs.202004521 · Cited by 49
Moreno‐García, P., Kovács, N., Grozovski, V., Gálvez‐Vázquez, M. D. J., Vesztergom, S., & Broekmann, P. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.9b04999 · Cited by 43
Jiao, S., Fu, X., Zhang, L., Zhang, L., Ruan, S., Zeng, Y. J., & Huang, H. (2020) · Nano Today · doi:10.1016/j.nantod.2020.101028 · Cited by 28
Self-citation
Metadata
- Authors
- Qiao, Y., Lai, W., Huang, K., Yu, T., Wang, Q., Gao, L., Yang, Z., Ma, Z., Sun, T., Liu, M., Lian, C., & Huang, H.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-02-01
- Volume
- 12
- Issue
- 4
- Pages
- 2357-2364
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W4210538176
- Cited by
- 336
- References
- 34
- FWCI
- 12.36
- Type
- journal article
- Language
- en
- Open access
- closed
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