The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Reduced SnO2 Porous Nanowires with a High Density of Grain Boundaries as Catalysts for Efficient Electrochemical CO2‐into‐HCOOH Conversion
Abstract
Electrochemical conversion of CO 2 into energy‐dense liquids, such as formic acid, is desirable as a hydrogen carrier and a chemical feedstock. SnOx is one of the few catalysts that reduce CO 2 into formic acid with high selectivity but at high overpotential and low current density. We show that an electrochemically reduced SnO 2 porous nanowire catalyst (Sn‐pNWs) with a high density of grain boundaries (GBs) exhibits an energy conversion efficiency of CO 2‐into‐HCOOH higher than analogous catalysts. HCOOH formation begins at lower overpotential (350 mV) and reaches a steady Faradaic efficiency of ca. 80 % at only −0.8 V vs. RHE. A comparison with commercial SnO 2 nanoparticles confirms that the improved CO 2 reduction performance of Sn‐pNWs is due to the density of GBs within the porous structure, which introduce new catalytically active sites. Produced with a scalable plasma synthesis technology, the catalysts have potential for application in the CO 2 conversion industry.
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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
Hori, Y., Wakebe, H., Tsukamoto, T., & Koga, O. (1994) · Electrochimica Acta · doi:10.1016/0013-4686(94)85172-7 · Cited by 2,140
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
Electroreduction of carbon monoxide to liquid fuel on oxide-derived nanocrystalline copper
Li, C. W., Ciston, J., & Kanan, M. W. (2014) · Nature · doi:10.1038/nature13249 · Cited by 1,728
Kim, D., Resasco, J., Yu, Y., Asiri, A. M., & Yang, P. (2014) · Nature Communications · doi:10.1038/ncomms5948 · Cited by 1,374
A review of mineral carbonation technologies to sequester CO 2
Sanna, A., Uibu, M., Caramanna, G., Kuusik, R., & Maroto-Valer, M. M. (2014) · Chem. Soc. Rev. · doi:10.1039/c4cs00035h · Cited by 1,258
Grain-Boundary-Dependent CO 2 Electroreduction Activity
Feng, X., Jiang, K., Fan, S., & Kanan, M. W. (2015) · Journal of the American Chemical Society · doi:10.1021/ja5130513 · Cited by 694
Achieving Highly Efficient, Selective, and Stable CO2 Reduction on Nitrogen-Doped Carbon Nanotubes
Wu, J., Yadav, R. M., Liu, M., Sharma, P. P., Tiwary, C. S., Ma, L., Zou, X., Zhou, X.-D., Yakobson, B. I., Lou, J., et al. (2015) · ACS Nano · doi:10.1021/acsnano.5b01079 · Cited by 652
Wang, H., Chen, Y., Hou, X., Ma, C., & Tan, T. (2016) · Green Chemistry · doi:10.1039/c6gc00410e · Cited by 288
Tuned Chemical Bonding Ability of Au at Grain Boundaries for Enhanced Electrochemical CO2 Reduction
Kim, K.-S., Kim, W. J., Lim, H.-K., Lee, E. K., & Kim, H. (2016) · ACS Catalysis · doi:10.1021/acscatal.6b00412 · Cited by 123
Cited by
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Electrocatalysis for CO 2 conversion: from fundamentals to value-added products
Wang, G., Chen, J., Ding, Y., Cai, P., Yi, L., Li, Y., Tu, C., Hou, Y., Wen, Z., & Dai, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00071j · Cited by 1,295
CO2 Reduction: From the Electrochemical to Photochemical Approach
Wu, J., Huang, Y., Ye, W., & Li, Y. (2017) · Advanced Science · doi:10.1002/advs.201700194 · Cited by 937
Han, N., Wang, Y., Yang, H., Deng, J., Wu, J., Li, Y., & Li, Y. (2018) · Nature Communications · doi:10.1038/s41467-018-03712-z · Cited by 914
Defect engineering in earth-abundant electrocatalysts for CO2 and N2 reduction
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Metadata
- Authors
- Kumar, B., Atla, V., Brian, J. P., Kumari, S., Nguyen, T. Q., Sunkara, M., & Spurgeon, J. M.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2017-02-23
- Volume
- 56
- Issue
- 13
- Pages
- 3645-3649
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2590980665
- Cited by
- 451
- References
- 10
- FWCI
- 14.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kumar, B., Atla, V., Brian, J. P., Kumari, S., Nguyen, T. Q., Sunkara, M., & Spurgeon, J. M. (2017). Reduced SnO2 Porous Nanowires with a High Density of Grain Boundaries as Catalysts for Efficient Electrochemical CO2‐into‐HCOOH Conversion. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201612194
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