The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
pH Matters When Reducing CO2 in an Electrochemical Flow Cell
Abstract
The pH at the electrocatalyst surface plays a key role in defining the activity and selectivity of the CO 2 reduction reaction (CO 2 RR). We report here operando Raman measurements of the catalyst surface in a customized CO 2 RR flow cell that enable the measure of pH. Using this flow cell, we were able to measure surface pH as a function of time, current density, and proximity to the catalyst surface during the electrolysis of bicarbonate solutions. We observed that increasing the current density from 0 to 200 mA cm –2 increased the surface pH from 8.5 to 10.3. We also show here that operation at elevated temperatures (70 °C) results in an increased surface pH and serves to suppress the competing and undesirable hydrogen evolution reaction.
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Cites
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
CO 2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface
Dinh, C.-T., Burdyny, T., Kibria, M. G., Seifitokaldani, A., Gabardo, C. M., García de Arquer, F. P., Kiani, A., Edwards, J. P., De Luna, P., Bushuyev, O. S., et al. (2018) · Science · doi:10.1126/science.aas9100 · Cited by 2,515
Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration
Liu, M., Pang, Y., Zhang, B., De Luna, P., Voznyy, O., Xu, J., Zheng, X., Dinh, C. T., Fan, F., Cao, C., et al. (2016) · Nature · doi:10.1038/nature19060 · Cited by 2,000
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
Dopant-induced electron localization drives CO2 reduction to C2 hydrocarbons
Zhou, Y., Che, F., Liu, M., Zou, C., Liang, Z., De Luna, P., Yuan, H., Li, J., Wang, Z., Xie, H., et al. (2018) · Nature Chemistry · doi:10.1038/s41557-018-0092-x · Cited by 1,171
Electrolytic CO2 Reduction in a Flow Cell
Weekes, D. M., Salvatore, D. A., Reyes, A., Huang, A., & Berlinguette, C. P. (2018) · Accounts of Chemical Research · doi:10.1021/acs.accounts.8b00010 · Cited by 1,067
Self-citationCarbon isotope fractionation during gas–water exchange and dissolution of CO2
Zhang, J., Quay, P. D., & Wilbur, D. O. (1995) · Geochimica et Cosmochimica Acta · doi:10.1016/0016-7037(95)91550-d · Cited by 863
Ma, W., Xie, S., Zhang, X.-G., Sun, F., Kang, J., Jiang, Z., Zhang, Q., Wu, D.-Y., & Wang, Y. (2019) · Nature Communications · doi:10.1038/s41467-019-08805-x · Cited by 701
A Gross‐Margin Model for Defining Technoeconomic Benchmarks in the Electroreduction of CO2
Verma, S., Kim, B., Jhong, H. “., Ma, S., & Kenis, P. J. A. (2016) · ChemSusChem · doi:10.1002/cssc.201600394 · Cited by 655
Ma, M., Trześniewski, B. J., Xie, J., & Smith, W. A. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201604654 · Cited by 530
Cited by
Electrocatalytic CO2 hydrogenation to C2+ alcohols catalysed by Pr–Cu oxide heterointerfaces
Liu, J., Li, P., Jia, S., Wang, Y., Jing, L., Liu, Z., Zhang, J., Qian, Q., Kang, X., Sun, X., et al. (2025) · Nature Synthesis · doi:10.1038/s44160-025-00752-4 · Cited by 96
Lin, G., Dong, A., Li, Z., Li, W., Cao, X., Zhao, Y., Wang, L., & Sun, L. (2025) · Advanced Materials · doi:10.1002/adma.202507525 · Cited by 93
Metadata
- Authors
- Zhang, Z., Melo, L., Jansonius, R. P., Habibzadeh, F., Grant, E. R., & Berlinguette, C. P.
- Venue
- ACS Energy Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-09-04
- Volume
- 5
- Issue
- 10
- Pages
- 3101-3107
- ISSN
- 2380-8195 (ISSN-L)
- OpenAlex
- W3083766566
- Cited by
- 266
- References
- 32
- FWCI
- 5.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, Z., Melo, L., Jansonius, R. P., Habibzadeh, F., Grant, E. R., & Berlinguette, C. P. (2020). pH Matters When Reducing CO2 in an Electrochemical Flow Cell. ACS Energy Letters. https://doi.org/10.1021/acsenergylett.0c01606
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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