Unknown

Dataset Information

0

Understanding activity trends in electrochemical water oxidation to form hydrogen peroxide.


ABSTRACT: Electrochemical production of hydrogen peroxide (H2O2) from water oxidation could provide a very attractive route to locally produce a chemically valuable product from an abundant resource. Herein using density functional theory calculations, we predict trends in activity for water oxidation towards H2O2 evolution on four different metal oxides, i.e., WO3, SnO2, TiO2 and BiVO4. The density functional theory predicted trend for H2O2 evolution is further confirmed by our experimental measurements. Moreover, we identify that BiVO4 has the best H2O2 generation amount of those oxides and can achieve a Faraday efficiency of about 98% for H2O2 production.Producing hydrogen peroxide via electrochemical oxidation of water is an attractive route to this valuable product. Here the authors theoretically and experimentally investigate hydrogen peroxide production activity trends for a range of metal oxides and identify the optimal bias ranges for high Faraday efficiencies.

SUBMITTER: Shi X 

PROVIDER: S-EPMC5615073 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Understanding activity trends in electrochemical water oxidation to form hydrogen peroxide.

Shi Xinjian X   Siahrostami Samira S   Li Guo-Ling GL   Zhang Yirui Y   Chakthranont Pongkarn P   Studt Felix F   Jaramillo Thomas F TF   Zheng Xiaolin X   Nørskov Jens K JK  

Nature communications 20170926 1


Electrochemical production of hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) from water oxidation could provide a very attractive route to locally produce a chemically valuable product from an abundant resource. Herein using density functional theory calculations, we predict trends in activity for water oxidation towards H<sub>2</sub>O<sub>2</sub> evolution on four different metal oxides, i.e., WO<sub>3</sub>, SnO<sub>2</sub>, TiO<sub>2</sub> and BiVO<sub>4</sub>. The density functional theory p  ...[more]

Similar Datasets

| S-EPMC9106728 | biostudies-literature
| S-EPMC6686209 | biostudies-literature
| S-EPMC5912104 | biostudies-literature
| S-EPMC7179276 | biostudies-literature
| S-EPMC5643074 | biostudies-literature
| S-EPMC10509222 | biostudies-literature
| S-EPMC1165831 | biostudies-other
| S-EPMC7581906 | biostudies-literature
| S-EPMC7733789 | biostudies-literature
| S-EPMC9458107 | biostudies-literature