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Tunable Cu Enrichment Enables Designer Syngas Electrosynthesis from CO2
Open accessAbstract
Using renewable energy to recycle CO 2 provides an opportunity to both reduce net CO 2 emissions and synthesize fuels and chemical feedstocks. It is of central importance to design electrocatalysts that both are efficient and can access a tunable spectrum of products. Syngas, a mixture of carbon monoxide (CO) and hydrogen (H 2 ), is an important chemical precursor that can be converted downstream into small molecules or larger hydrocarbons by fermentation or thermochemistry. Many processes that utilize syngas require different syngas compositions: we therefore pursued the rational design of a family of electrocatalysts that can be programmed to synthesize different designer syngas ratios. We utilize in situ surface-enhanced Raman spectroscopy and first-principles density functional theory calculations to develop a systematic picture of CO* binding on Cu-enriched Au surface model systems. Insights from these model systems are then translated to nanostructured electrocatalysts, whereby controlled Cu enrichment enables tunable syngas production while maintaining current densities greater than 20 mA/cm 2 .
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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
The path towards sustainable energy
Chu, S., Cui, Y., & Liu, N. (2017) · Nature Materials · doi:10.1038/nmat4834 · Cited by 4,791
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
Self-citationMaterials for solar fuels and chemicals
Montoya, J. H., Seitz, L. C., Chakthranont, P., Vojvodic, A., Jaramillo, T. F., & Nørskov, J. K. (2017) · Nature Materials · doi:10.1038/nmat4778 · Cited by 1,566
Selective conversion of syngas to light olefins
Jiao, F., Li, J., Pan, X., Xiao, J., Li, H., Ma, H., Wei, M., Pan, Y., Zhou, Z., Li, M., et al. (2016) · Science · doi:10.1126/science.aaf1835 · Cited by 1,521
Kim, D., Resasco, J., Yu, Y., Asiri, A. M., & Yang, P. (2014) · Nature Communications · doi:10.1038/ncomms5948 · Cited by 1,374
Self-citationSurface-Enhanced Raman Spectroscopy
Haynes, C. L., McFarland, A. D., & Van Duyne, R. P. (2005) · Analytical Chemistry · doi:10.1021/ac053456d · Cited by 1,144
Underpotential Deposition at Single Crystal Surfaces of Au, Pt, Ag and Other Materials
Herrero, E., Buller, L. J., & Abruña, H. D. (2001) · Chemical Reviews · doi:10.1021/cr9600363 · Cited by 934
Jhong, H.-R. “., Ma, S., & Kenis, P. J. (2013) · Current Opinion in Chemical Engineering · doi:10.1016/j.coche.2013.03.005 · Cited by 826
Understanding Trends in the Electrocatalytic Activity of Metals and Enzymes for CO2 Reduction to CO
Hansen, H. A., Varley, J. B., Peterson, A. A., & Nørskov, J. K. (2013) · The Journal of Physical Chemistry Letters · doi:10.1021/jz3021155 · Cited by 750
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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
What would it take for renewably powered electrosynthesis to displace petrochemical processes?
De Luna, P., Hahn, C., Higgins, D., Jaffer, S. A., Jaramillo, T. F., & Sargent, E. H. (2019) · Science · doi:10.1126/science.aav3506 · Cited by 3,052
Self-citationDesigning materials for electrochemical carbon dioxide recycling
Ross, M. B., De Luna, P., Li, Y., Dinh, C.-T., Kim, D., Yang, P., & Sargent, E. H. (2019) · Nature Catalysis · doi:10.1038/s41929-019-0306-7 · Cited by 1,302
Self-citationProduct selectivity of photocatalytic CO2 reduction reactions
Fu, J., Jiang, K., Qiu, X., Yu, J., & Liu, M. (2020) · Materials Today · doi:10.1016/j.mattod.2019.06.009 · Cited by 1,280
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Zheng, T., Jiang, K., Ta, N., Hu, Y., Zeng, J., Liu, J., & Wang, H. (2019) · Joule · doi:10.1016/j.joule.2018.10.015 · Cited by 887
Das, S., Pérez-Ramírez, J., Gong, J., Dewangan, N., Hidajat, K., Gates, B. C., & Kawi, S. (2020) · Chemical Society Reviews · doi:10.1039/c9cs00713j · Cited by 885
Surface and Interface Control in Nanoparticle Catalysis
Xie, C., Niu, Z., Kim, D., Li, M., & Yang, P. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00220 · Cited by 864
Self-citationDefect and Interface Engineering for Aqueous Electrocatalytic CO2 Reduction
Wang, Y., Han, P., Lv, X., Zhang, L., & Zheng, G. (2018) · Joule · doi:10.1016/j.joule.2018.09.021 · Cited by 677
Theoretical Insights into Heterogeneous (Photo)electrochemical CO2Reduction
Xu, S., & Carter, E. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00481 · Cited by 652
A stable covalent organic framework for photocatalytic carbon dioxide reduction
Fu, Z., Wang, X., Gardner, A. M., Wang, X., Chong, S. Y., Neri, G., Cowan, A. J., Liu, L., Li, X., Vogel, A., et al. (2020) · Chemical Science · doi:10.1039/c9sc03800k · Cited by 414
Wen, G., Lee, D. U., Ren, B., Hassan, F. M., Jiang, G., Cano, Z. P., Gostick, J., Croiset, E., Bai, Z., Yang, L., et al. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201802427 · Cited by 361
Identifying Active Sites of Nitrogen‐Doped Carbon Materials for the CO2 Reduction Reaction
Liu, S., Yang, H., Huang, X., Liu, L., Cai, W., Gao, J., Li, X., Zhang, T., Huang, Y., & Liu, B. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201800499 · Cited by 331
Electrocatalytic Alloys for CO2 Reduction
He, J., Johnson, N. J. J., Huang, A., & Berlinguette, C. P. (2018) · ChemSusChem · doi:10.1002/cssc.201701825 · Cited by 322
Wang, Y., Liu, Y., Liu, W., Wu, J., Li, Q., Feng, Q., Chen, Z., Xiong, X., Wang, D., & Lei, Y. (2020) · Energy & Environmental Science · doi:10.1039/d0ee02833a · Cited by 303
Ren, B., Wen, G., Gao, R., Luo, D., Zhang, Z., Qiu, W., Ma, Q., Wang, X., Cui, Y., Ricardez–Sandoval, L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29861-w · Cited by 285
New aspects of operando Raman spectroscopy applied to electrochemical CO2 reduction on Cu foams
Jiang, S., Klingan, K., Pasquini, C., & Dau, H. (2019) · The Journal of Chemical Physics · doi:10.1063/1.5054109 · Cited by 253
Role of oxygen-bound reaction intermediates in selective electrochemical CO 2 reduction
Zhi, X., Vasileff, A., Zheng, Y., Jiao, Y., & Qiao, S.-Z. (2021) · Energy & Environmental Science · doi:10.1039/d1ee00740h · Cited by 149
Metadata
- Authors
- Ross, M. B., Dinh, C. T., Li, Y., Kim, D., De Luna, P., Sargent, E. H., & Yang, P.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-06-29
- Volume
- 139
- Issue
- 27
- Pages
- 9359-9363
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2732832598
- Cited by
- 300
- References
- 32
- FWCI
- 8.18
- Type
- journal article
- Language
- en
- Open access
- green
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