Published January 2018 | Version v1
Journal article

Optimization of electrolyte to significantly improve photoelectrochemical water splitting performance of ZnO nanowire arrays

  • 1. School of Science, Minzu University of China, Beijing 100081 (China)

Description

Highlights: • ZnO nanowire arrays were prepared by an electrochemical deposition method. • ZnO nanowire array was used as photoanode for PEC water splitting. • PEC water splitting activities were evaluated in Na2SO3 and Na2SO4 electrolytes. • The photoanode shows enhanced PEC water splitting activity in Na2SO3 electrolyte. • The enhanced PEC water splitting is ascribed to depletion of hole by SO32− anion. - Abstract: In this work, a simple and facile strategy has been applied to improve the photoelectrochemical (PEC) water splitting performance of ZnO nanowire arrays by the optimization of Na2SO4 and Na2SO3 electrolytes. The ZnO nanowire array electrode exhibits significant PEC water splitting enhancement in Na2SO3 electrolyte solution compared to in Na2SO4 electrolyte solution. The photocurrent density of ZnO nanowire array photoanode in Na2SO3 electrolyte solution is 6 times higher than that in Na2SO4 electrolyte solution at 0.5 V vs. Ag/AgCl. Mott-Schottky (MS) and electrochemical impedance spectroscopy (EIS) studies of ZnO nanowire array electrodes in Na2SO4 and Na2SO3 electrolyte solutions reveal that SO32− anions consume the holes and efficiently improve the separation of photogenerated electron-hole pairs, leading to significant improvement for PEC water splitting performance in Na2SO3 electrolyte solution. This work provides a promising strategy to improve the PEC water splitting performance of photoanode materials by the optimization of electrolytes.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.mseb.2017.09.020

Additional details

Identifiers

DOI
10.1016/j.mseb.2017.09.020;
PII
S0921510717302465;

Publishing Information

Journal Title
Materials Science and Engineering. B, Solid-State Materials for Advanced Technology
Journal Volume
227
Journal Page Range
p. 129-135
ISSN
0921-5107
CODEN
MSBTEK

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.