Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO2 Nanosheets

Selective and sensitive identification of paraoxon residue in agricultural products is greatly significant for food safety but remains a challenging task. Herein, a detection platform was developed by integrating Cu nanoclusters (Cu NCs) with MnO2 nanosheets, where the fluorescence of Cu NCs was eff...

Full description

Bibliographic Details
Main Authors: Li, C. (Author), Liu, J. (Author), Liu, S. (Author), Lv, Y.-K (Author), Miao, Y. (Author), Shi, Y.-E (Author), Wang, Z. (Author), Zhang, P. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Online Access:View Fulltext in Publisher

Similar Items