Low Overpotential for Electrochemically Reducing CO2 to CO on Nitrogen-Doped Graphene Quantum Dots-Wrapped Single-Crystalline Gold Nanoparticles AITranslate
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Electrochemically converting the overemitted CO2 from fossil fuel combustion back into the natural carbon cycle has become a hot spot in recent years. However, surfactants on synthesized nanocatalysts have negative effects on the activity and selectivity. Herein, we transferred the surfactants on single-crystalline gold nanoparticles into N-doped graphene quantum dots (NGQDs) by a hydrothermal method, which not only cleared the Au surfaces but also enhanced the catalytic activity for converting CO2 into CO at ultralow potentials. The highest faradaic efficiency reaches 93% at −0.25 V vs RHE, and CO production starts from as low as −0.15 V, which is much lower than other Au-based nanocatalysts. DFT calculations were applied to investigate the mechanism and indicate that the synergistic effect between gold and NGQDs is a key to increasing activity.
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DOI:https://doi.org/10.1021/acsenergylett.8b00261
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Electrochemically converting the overemitted CO2 from fossil fuel combustion back into the natural carbon cycle has become a hot spot in recent years. However, surfactants on synthesized nanocatalysts have negative effects on the activity and selectivity. Herein, we transferred the surfactants on single-crystalline gold nanoparticles into N-doped graphene quantum dots (NGQDs) by a hydrothermal method, which not only cleared the Au surfaces but also enhanced the catalytic activity for converting CO2 into CO at ultralow potentials. The highest faradaic efficiency reaches 93% at −0.25 V vs RHE, and CO production starts from as low as −0.15 V, which is much lower than other Au-based nanocatalysts. DFT calculations were applied to investigate the mechanism and indicate that the synergistic effect between gold and NGQDs is a key to increasing activity.
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| GB/T 7714-2015 | [1] Jiaju Fu, Yu Wang, Juan Liu, et al. ACS Energy Letters, 2018(3). DOI:10.1021/acsenergylett.8b00261. |
| MLA | [1] Jiaju Fu, et al., ACS Energy Letters, no. 3, 2018, https://doi.org/10.1021/acsenergylett.8b00261. |
| APA | [1] Jiaju Fu, Yu Wang, Juan Liu, Kaikai Huang, Ying Chen, Yafei Li, & JunJie Zhu. (2018). ACS Energy Letters(3). https://doi.org/10.1021/acsenergylett.8b00261 |
| IEEE | [1] Jiaju Fu, Yu Wang, Juan Liu, Kaikai Huang, Ying Chen, Yafei Li, and JunJie Zhu, ACS Energy Letters, no. 3, 2018, doi: 10.1021/acsenergylett.8b00261. |
