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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Engineering the Local Microenvironment over Bi Nanosheets for Highly Selective Electrocatalytic Conversion of CO2 to HCOOH in Strong Acid. https://app.cochat.ai/papers/10.1021/acscatal.1c05135
- The paper
- Qiao, Y., Lai, W., Huang, K., Yu, T., Wang, Q., Gao, L., Yang, Z., Ma, Z., Sun, T., Liu, M., Lian, C., & Huang, H. (2022). Engineering the Local Microenvironment over Bi Nanosheets for Highly Selective Electrocatalytic Conversion of CO2 to HCOOH in Strong Acid. ACS Catalysis. https://doi.org/10.1021/acscatal.1c05135
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.