Issue 25, 2019

Improving photoelectrochemical response of ZnO nanowire arrays by coating with p-type ZnO-resembling metal–organic framework

Abstract

Coupling semiconducting metal–organic frameworks (MOFs) with metal oxide (MO) semiconductor nanowires is an efficient solution to tune the photoelectric properties of both the parties. In this report, we demonstrate a facile surfactant-free growth strategy for modification of zinc oxide (ZnO) single-crystal nanowire arrays (NWAs) with the MOF zinc glycolate (noted as Zn-GA) that contains an embedded continuous 3D Zn–O network. Due to the structural resemblance of the Zn–O network between Zn-GA and ZnO, the prepared ZnO@Zn-GA nanowires present a tight contact at the core–shell interface in a partially epitaxial manner, and the loading amount of Zn-GA can be well controlled in the synthetic process. The inherent p-type Zn-GA in combination with the widely available n-type ZnO assures the construction of tandem n–p heterojunctions at the core–shell interface, which is confirmed by Mott–Schottky analysis. By implementation of the ZnO@Zn-GA NWAs as photoanodes for photoelectrochemical oxidation of water and oxalic acid, improved photocurrent responses are obtained relative to the primary ZnO NWAs. The most significant photoresponse is observed in the ZnO nanowires shelled by a compact Zn-GA particulate thin film with the largest junction region. These results are elucidated by the enhanced spatial separation efficiency of photogenerated charge carriers, which is favored by the built-in electric field at the interface of the n–p heterojunctions.

Graphical abstract: Improving photoelectrochemical response of ZnO nanowire arrays by coating with p-type ZnO-resembling metal–organic framework

Supplementary files

Article information

Article type
Paper
Submitted
08 abr 2019
Accepted
24 mai 2019
First published
24 mai 2019

Dalton Trans., 2019,48, 9310-9316

Improving photoelectrochemical response of ZnO nanowire arrays by coating with p-type ZnO-resembling metal–organic framework

Q. Gao, H. Kang, Y. Cai, D. Xue, F. Yu, J. Fang and Y. Yang, Dalton Trans., 2019, 48, 9310 DOI: 10.1039/C9DT01490J

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