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Efficient photocatalytic reduction of dinitrogen to ammonia on bismuth monoxide quantum dots

Sun, Songmei and An, Qi and Wang, Wenzhong and Zhang, Ling and Liu, Jianjun and Goddard, William A., III (2017) Efficient photocatalytic reduction of dinitrogen to ammonia on bismuth monoxide quantum dots. Journal of Materials Chemistry A, 5 (1). pp. 201-209. ISSN 2050-7488. doi:10.1039/C6TA09275F.

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N_2 reduction to ammonia by solar light represents a green and sustainable ammonia synthesis approach which helps to suppress the global warming and energy crisis. However, conventional semiconductors usually suffer from low activity or poor stability, largely suppressing the application of this technology. Here, we report that bismuth monoxide (BiO) quantum dots with an average size of 2–5 nm exhibited efficient photocatalytic activity for ammonia synthesis under simulated solar light. A highly efficient ammonia synthesis rate of 1226 μmol g^(−1) h^(−1) is achieved without the assistance of any sacrificial agent or co-catalyst, which is about 1000 times higher than that using the traditional Fe-TiO_2 photocatalyst. Kinetic analysis reveals that the synergy of three low valence surface Bi(II) species markedly enhances N_2 activation by electron donation, which finally resulted in the highly efficient N_2 photoreduction performance. This work will shed light on designing efficient and robust N_2 reduction photocatalysts.

Item Type:Article
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URLURL TypeDescription Information
An, Qi0000-0003-4838-6232
Goddard, William A., III0000-0003-0097-5716
Additional Information:© 2016 Royal Society of Chemistry. Received 26th October 2016. Accepted 13th November 2016. First published online 15 Nov 2016. This work was financially supported by the National Basic Research Program of China (2013CB933200), National Natural Science Foundation of China (21671197, 51272269, 51272303, 51472260), and the research grant (16ZR1440800) from Shanghai Science and Technology Commission. Prof. Guangyu Li from Shanghai Institute of Organic Chemistry is gratefully acknowledged for measurement and interpretation of the NMR data.
Funding AgencyGrant Number
National Basic Research Program of China2013CB933200
National Natural Science Foundation of China21671197
National Natural Science Foundation of China51272269
National Natural Science Foundation of China51272303
National Natural Science Foundation of China51472260
Shanghai Science and Technology Commission16ZR1440800
Issue or Number:1
Record Number:CaltechAUTHORS:20161130-142018779
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:72460
Deposited By: George Porter
Deposited On:30 Nov 2016 23:19
Last Modified:11 Nov 2021 05:01

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