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A light-driven enzyme-free photoelectrochemical sensor based on HKUST-1 derived Cu2O/Cu@microporous carbon with g-C3N4 p-n heterojunction for ultra-sensitive detection of l-cysteine.

Authors :
Huang, Linzi
Li, Jiaodi
Wang, Yilin
Hu, Xuan
Shi, Kai
Li, Chunyan
Xie, Yixi
Zhao, Pengcheng
Fei, Junjie
Source :
Carbon. Nov2023, Vol. 215, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

l -cysteine (L-Cys) plays an important role in human health as well as in the biological environment. Here, a simple physical mixing technique was used to create the p-n heterojunction by homogeneously immobilizing cuprous oxide/copper@microporous carbon (Cu 2 O/Cu@mC) on the surface of a sheet of g-C 3 N 4 (CNS). Among them, the porous structure of Cu 2 O/Cu@mC after heat treatment is favorable for charge storage. Meanwhile, the carbon element in Cu 2 O/Cu@mC acts as a photosensitizer and electron mediator to extend visible light absorption. Compared with bulk g-C 3 N 4 (CNB), the sheet-like structure and high specific surface area of CNS can be used as a carrier for the binding of Cu 2 O/Cu@mC with L-Cys. Based on the interaction between L-Cys and Cu 2 O/Cu@mC through the formation of Cu–S bonds, Cu 2 O/Cu@mC/CNS was proposed as a light-driven enzyme-free photoelectrochemical sensor for the detection of L-Cys. In the best case, the Cu 2 O/Cu@mC/GCE sensor has a low limit of detection of 1.26 × 10−9 M for L-Cys and a wide linear range (1.0 × 10−8 M − 4.0 × 10−6 M). The repeatability, reproducibility, stability, selectivity and specificity of the sensor were satisfactory. In addition, the potential applicability of the proposed photoelectrochemical sensor was evaluated in tap water and human serum. [Display omitted] • A low-cost and simple method to detect L-Cys in tap water and human serum. • The Cu 2 O/Cu@mC/CNS has excellent chemical stability and high selectivity. • It is a highly sensitive enzyme-free PEC sensor composed of p-n heterostructure. • The constructed PEC sensor has an ultra-low LOD and an ultra-wide linear range. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00086223
Volume :
215
Database :
Academic Search Index
Journal :
Carbon
Publication Type :
Academic Journal
Accession number :
173235357
Full Text :
https://doi.org/10.1016/j.carbon.2023.118466