volume 75 pages 104990

Piezopotential-driven simulated electrocatalytic nanosystem of ultrasmall MoC quantum dots encapsulated in ultrathin N-doped graphene vesicles for superhigh H2 production from pure water

Wenhui Feng 1
Jie Yuan 2
Fan Gao 2
Bo Weng 3
Wenting Hu 1
Yanhua Lei 4
Xueyan Huang 2
Lu Yang 1
Jie Shen 1
Difa Xu 1
Xiangchao Zhang 1
Ping Liu 2
SHIYING ZHANG 1
Publication typeJournal Article
Publication date2020-09-01
scimago Q1
wos Q1
SJR4.566
CiteScore30.4
Impact factor17.1
ISSN22112855, 22113282
General Materials Science
Electrical and Electronic Engineering
Renewable Energy, Sustainability and the Environment
Abstract
A simulated electrocatalytic nanosystem of MoC@NG assembled nanosheet is successfully constructed by a thermolysis procedure and first applied in piezocatalytic H 2 production from pure water. Owing to the unique configuration of MoC quantum dots (QDs) encapsulated in ultrathin N-doped graphene (NG) vesicles (MoC@NG), both the aggregation of MoC QDs and stack of ultrathin NG layers in MoC@NG are suppressed simultaneously. When the integration is subjected in mechanical vibration, ultrathin NG layers can provide piezoelectric potential to trigger hydrogen evolution reaction (HER) on MoC QDs, while MoC QDs could not only collect free electrons to achieve the carriers’ intercomponent separation, but also provide rich and high-activity HER sites with lower overpotential. The rate of piezocatalytic H 2 production from H 2 O is as high as 1.690 μmol h −1 mg −1 , which is the reported highest H 2 evolution rate of piezocatalytic water splitting without any sacrificial agents, even higher than ones in many photocatalytic pure water splitting systems. It is the synergy of piezoelectric ultrathin NG layers and conductive MoC QDs that predominantly contributes to a superhigh piezocatalytic performance. Furthermore, this design concept is expected to break a new ground in piezocatalysis. • MoC@NG is fabricated as a simulated electrocatalytic nanosystem. • MoC@NG has an unique configuration of ultrasmall MoC encapsulated in ultrathin NG. • MoC@NG is first applied in piezocatalytic H 2 evolution from pure H 2 O. • Ultrathin NG layers can provide piezoelectric potential to trigger HER on MoC QDs. • MoC@NG shows the reported highest H 2 evolution rate driven by piezopotential.
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GOST Copy
Feng W. et al. Piezopotential-driven simulated electrocatalytic nanosystem of ultrasmall MoC quantum dots encapsulated in ultrathin N-doped graphene vesicles for superhigh H2 production from pure water // Nano Energy. 2020. Vol. 75. p. 104990.
GOST all authors (up to 50) Copy
Feng W., Yuan J., Gao F., Weng B., Hu W., Lei Y., Huang X., Yang L., Shen J., Xu D., Zhang X., Liu P., ZHANG S. Piezopotential-driven simulated electrocatalytic nanosystem of ultrasmall MoC quantum dots encapsulated in ultrathin N-doped graphene vesicles for superhigh H2 production from pure water // Nano Energy. 2020. Vol. 75. p. 104990.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.nanoen.2020.104990
UR - https://doi.org/10.1016/j.nanoen.2020.104990
TI - Piezopotential-driven simulated electrocatalytic nanosystem of ultrasmall MoC quantum dots encapsulated in ultrathin N-doped graphene vesicles for superhigh H2 production from pure water
T2 - Nano Energy
AU - Feng, Wenhui
AU - Yuan, Jie
AU - Gao, Fan
AU - Weng, Bo
AU - Hu, Wenting
AU - Lei, Yanhua
AU - Huang, Xueyan
AU - Yang, Lu
AU - Shen, Jie
AU - Xu, Difa
AU - Zhang, Xiangchao
AU - Liu, Ping
AU - ZHANG, SHIYING
PY - 2020
DA - 2020/09/01
PB - Elsevier
SP - 104990
VL - 75
SN - 2211-2855
SN - 2211-3282
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Feng,
author = {Wenhui Feng and Jie Yuan and Fan Gao and Bo Weng and Wenting Hu and Yanhua Lei and Xueyan Huang and Lu Yang and Jie Shen and Difa Xu and Xiangchao Zhang and Ping Liu and SHIYING ZHANG},
title = {Piezopotential-driven simulated electrocatalytic nanosystem of ultrasmall MoC quantum dots encapsulated in ultrathin N-doped graphene vesicles for superhigh H2 production from pure water},
journal = {Nano Energy},
year = {2020},
volume = {75},
publisher = {Elsevier},
month = {sep},
url = {https://doi.org/10.1016/j.nanoen.2020.104990},
pages = {104990},
doi = {10.1016/j.nanoen.2020.104990}
}