The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Acidic CO2-to-HCOOH electrolysis with industrial-level current on phase engineered tin sulfide
Open accessAbstract
Acidic CO 2-to-HCOOH electrolysis represents a sustainable route for value-added CO 2 transformations. However, competing hydrogen evolution reaction (HER) in acid remains a great challenge for selective CO 2-to-HCOOH production, especially in industrial-level current densities. Main group metal sulfides derived S-doped metals have demonstrated enhanced CO 2-to-HCOOH selectivity in alkaline and neutral media by suppressing HER and tuning CO 2 reduction intermediates. Yet stabilizing these derived sulfur dopants on metal surfaces at large reductive potentials for industrial-level HCOOH production is still challenging in acidic medium. Herein, we report a phase-engineered tin sulfide pre-catalyst (π-SnS) with uniform rhombic dodecahedron structure that can derive metallic Sn catalyst with stabilized sulfur dopants for selective acidic CO 2-to-HCOOH electrolysis at industrial-level current densities. In situ characterizations and theoretical calculations reveal the π-SnS has stronger intrinsic Sn-S binding strength than the conventional phase, facilitating the stabilization of residual sulfur species in the Sn subsurface. These dopants effectively modulate the CO 2 RR intermediates coverage in acidic medium by enhancing *OCHO intermediate adsorption and weakening *H binding. As a result, the derived catalyst (Sn(S)-H) demonstrates significantly high Faradaic efficiency (92.15 %) and carbon efficiency (36.43 %) to HCOOH at industrial current densities (up to −1 A cm−2) in acidic medium.
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
Origin of the Overpotential for Oxygen Reduction at a Fuel-Cell Cathode
Nørskov, J. K., Rossmeisl, J., Logadottir, A., Lindqvist, L., Kitchin, J. R., Bligaard, T., & Jónsson, H. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp047349j · Cited by 13,153
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
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
Atomic cobalt on nitrogen-doped graphene for hydrogen generation
Fei, H., Dong, J., Arellano-Jiménez, M. J., Ye, G., Dong Kim, N., Samuel, E. L. G., Peng, Z., Zhu, Z., Qin, F., Bao, J., et al. (2015) · Nature Communications · doi:10.1038/ncomms9668 · Cited by 1,621
CO 2 electrolysis to multicarbon products at activities greater than 1 A cm −2
García de Arquer, F. P., Dinh, C.-T., Ozden, A., Wicks, J., McCallum, C., Kirmani, A. R., Nam, D.-H., Gabardo, C., Seifitokaldani, A., Wang, X., et al. (2020) · Science · doi:10.1126/science.aay4217 · Cited by 1,517
Kibria, M. G., Edwards, J. P., Gabardo, C. M., Dinh, C., Seifitokaldani, A., Sinton, D., & Sargent, E. H. (2019) · Advanced Materials · doi:10.1002/adma.201807166 · Cited by 1,331
Dai, J., Zhu, Y., Chen, Y., Wen, X., Long, M., Wu, X., Hu, Z., Guan, D., Wang, X., Zhou, C., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28843-2 · Cited by 467
Self-citationA pH-differential dual-electrolyte microfluidic electrochemical cells for CO2 utilization
Lu, X., Leung, D. Y. C., Wang, H., Maroto-Valer, M. M., & Xuan, J. (2016) · Renewable Energy · doi:10.1016/j.renene.2016.04.021 · Cited by 64
Self-citation
Cited by
Jiang, M., Wang, H., Zhu, M., Luo, X., He, Y., Wang, M., Wu, C., Zhang, L., Li, X., Liao, X., et al. (2024) · Chemical Society Reviews · doi:10.1039/d3cs00857f · Cited by 299
Self-citation
Metadata
- Authors
- Shen, H., Jin, H., Li, H., Wang, H., Duan, J., Jiao, Y., & Qiao, S.-Z.
- Venue
- Nature Communications
- Published
- 2023-05-18
- Volume
- 14
- Issue
- 1
- Pages
- 2843-2843
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W4377047318
- Cited by
- 263
- References
- 8
- FWCI
- 12.31
- Type
- journal article
- Language
- en
- Open access
- gold
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: Acidic CO2-to-HCOOH electrolysis with industrial-level current on phase engineered tin sulfide. https://app.cochat.ai/papers/10.1038/s41467-023-38497-3
- The paper
- Shen, H., Jin, H., Li, H., Wang, H., Duan, J., Jiao, Y., & Qiao, S.-Z. (2023). Acidic CO2-to-HCOOH electrolysis with industrial-level current on phase engineered tin sulfide. Nature Communications. https://doi.org/10.1038/s41467-023-38497-3
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.