The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Electrochemical Processing of Carbon Dioxide
Open accessAbstract
With respect to the negative role of carbon dioxide on our climate, it is clear that the time is ripe for the development of processes that convert CO 2 into useful products. The electroreduction of CO 2 is a prime candidate here, as the reaction at near‐ambient conditions can yield organics such as formic acid, methanol, and methane. Recent laboratory work on the 100 A scale has shown that reduction of CO 2 to formate (HCO 2−) may be carried out in a trickle‐bed continuous electrochemical reactor under industrially viable conditions. Presuming the problems of cathode stability and formate crossover can be overcome, this type of reactor is proposed as the basis for a commercial operation. The viability of corresponding processes for electrosynthesis of formate salts and/or formic acid from CO 2 is examined here through conceptual flowsheets for two process options, each converting CO 2 at the rate of 100 tonnes per day.
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
Electrolytic Reduction of Carbon Dioxide at Mercury Electrode in Aqueous Solution
Hori, Y., & Suzuki, S. (1982) · Bulletin of the Chemical Society of Japan · doi:10.1246/bcsj.55.660 · Cited by 140
Cited by
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
A review of catalysts for the electroreduction of carbon dioxide to produce low-carbon fuels
Qiao, J., Liu, Y., Hong, F., & Zhang, J. (2014) · Chem. Soc. Rev. · doi:10.1039/c3cs60323g · Cited by 2,990
Agarwal, A. S., Zhai, Y., Hill, D., & Sridhar, N. (2011) · ChemSusChem · doi:10.1002/cssc.201100220 · Cited by 573
Electrochemical CO2 Reduction: Recent Advances and Current Trends
Jones, J., Prakash, G. K. S., & Olah, G. A. (2014) · Israel Journal of Chemistry · doi:10.1002/ijch.201400081 · Cited by 425
Importance of Ag–Cu Biphasic Boundaries for Selective Electrochemical Reduction of CO2to Ethanol
Lee, S., Park, G., & Lee, J. (2017) · ACS Catalysis · doi:10.1021/acscatal.7b02822 · Cited by 391
Metadata
- Authors
- Oloman, C., & Li, H.
- Venue
- ChemSusChem
- Publisher
- Wiley
- Published
- 2008-05-15
- Volume
- 1
- Issue
- 5
- Pages
- 385-391
- ISSN
- 1864-5631 (ISSN-L)
- 1864-564X
- OpenAlex
- W2024945073
- Cited by
- 288
- References
- 1
- FWCI
- 3.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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
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.