Tuning the anisotropic facet of Cu <sub>2</sub> O single-crystals for photocarrier spatial segregation

Precise design of anisotropic facets is a key strategy for modulating semiconductor photoelectrochemical (PEC) performance, but it still faces significant challenges. In this work, we proposed an approach to modulate Cu<sub>2</sub>O photoelectrodes based on triple engineering, including morphology, defect state, and crystal facet engineering, which promoted photocarrier separation through rational design of anisotropic facets. By controlling the precursors, six Cu<sub>2</sub>O photoelectrodes with anisotropic facet structures and different oxygen vacancy (O<sub>V</sub>) contents were obtained. The prepared Cu<sub>2</sub>O photoelectrodes exhibited significant negative photocurrent responses to H<sub>2</sub>O<sub>2</sub> catalyzed by the sandwich immunoenzyme, which enabled the development of a PEC immunoassay for the sensitive detection of carcinoembryonic antigen (CEA). The anisotropic separation of photocarriers and the highly selective recognition of target molecules could be effectively achieved by optimizing the ratio of facets exposed and the facets with characteristic adsorption. Combined with density functional theory (DFT) calculations, the electronic structure characteristics and photocarrier transfer behavior of anisotropic facets have been investigated, elucidating the critical role of crystal facet engineering in promoting the anisotropic separation of photocarriers and modulating the kinetics of surface reactions. This work provides an innovative engineering strategy for the development of PEC sensors with high photoelectric conversion efficiency.

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Publication Details

Journal
Chemical Science
Published
2025-11-26
DOI
https://doi.org/10.1039/d5sc07288c
Citations
2
Primary Topic
Copper-based nanomaterials and applications
Type
article
Field-Weighted Citation Impact
1.04

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article

Tuning the anisotropic facet of Cu 2 O single-crystals for photocarrier spatial segregation

Zhichao Yu, Dianyong Tang, Jiao Qin, Shuyun Chen et al.
2 citations
Chemical Science
Copper-based nanomaterials and applications
1.04
article

Tuning the anisotropic facet of Cu 2 O single-crystals for photocarrier spatial segregation

Zhichao Yu, Dianyong Tang, Jiao Qin, Shuyun Chen, Shuo Tian, Di Wu, Dianping Tang, Yunsen Wang
article en
2 citations

Abstract

Precise design of anisotropic facets is a key strategy for modulating semiconductor photoelectrochemical (PEC) performance, but it still faces significant challenges. In this work, we proposed an approach to modulate Cu<sub>2</sub>O photoelectrodes based on triple engineering, including morphology, defect state, and crystal facet engineering, which promoted photocarrier separation through rational design of anisotropic facets. By controlling the precursors, six Cu<sub>2</sub>O photoelectrodes with anisotropic facet structures and different oxygen vacancy (O<sub>V</sub>) contents were obtained. The prepared Cu<sub>2</sub>O photoelectrodes exhibited significant negative photocurrent responses to H<sub>2</sub>O<sub>2</sub> catalyzed by the sandwich immunoenzyme, which enabled the development of a PEC immunoassay for the sensitive detection of carcinoembryonic antigen (CEA). The anisotropic separation of photocarriers and the highly selective recognition of target molecules could be effectively achieved by optimizing the ratio of facets exposed and the facets with characteristic adsorption. Combined with density functional theory (DFT) calculations, the electronic structure characteristics and photocarrier transfer behavior of anisotropic facets have been investigated, elucidating the critical role of crystal facet engineering in promoting the anisotropic separation of photocarriers and modulating the kinetics of surface reactions. This work provides an innovative engineering strategy for the development of PEC sensors with high photoelectric conversion efficiency.

Chemical ScienceVol. 17(4)
Chongqing University of Arts and Sciences (CN), Fuzhou University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 21%
Copper-based nanomaterials and applications
1.04
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