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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.
- 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