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Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO(2) 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 MnO(2) nanosheets, where the fluorescence of Cu NCs was e...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100620/ https://www.ncbi.nlm.nih.gov/pubmed/35564138 http://dx.doi.org/10.3390/nano12091429 |
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author | Liu, Shuo Zhang, Peng Miao, Yuming Li, Chenmin Shi, Yu-e Liu, Jinhua Lv, Yun-kai Wang, Zhenguang |
author_facet | Liu, Shuo Zhang, Peng Miao, Yuming Li, Chenmin Shi, Yu-e Liu, Jinhua Lv, Yun-kai Wang, Zhenguang |
author_sort | Liu, Shuo |
collection | PubMed |
description | 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 MnO(2) nanosheets, where the fluorescence of Cu NCs was effectively quenched. Upon introducing butyrylcholinesterase and butyrylcholine into the system, their hydrolysate, thiocholine, leads to the decomposition of the platform through a reaction between the MnO(2) nanosheets and thiol groups on thiocholine. The electron-rich groups on thiocholine can further promote the fluorescence intensity of Cu NCs through host–guest interactions. Adding paraoxon results in the failure of fluorescence recovery and further promotion, which could be utilized for the quantitative detection of paraoxon, and a limit of detection as low as 0.22 ng/mL can be achieved. The detection platform shows strong tolerance to common interference species, which endows its applications for the detection of paraoxon in vegetables and fruit. These presented results not only open a new door for the functionalization of metal nanoclusters but also offer an inspiring strategy for analytic techniques in nanomedicine and environmental science. |
format | Online Article Text |
id | pubmed-9100620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91006202022-05-14 Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO(2) Nanosheets Liu, Shuo Zhang, Peng Miao, Yuming Li, Chenmin Shi, Yu-e Liu, Jinhua Lv, Yun-kai Wang, Zhenguang Nanomaterials (Basel) Article 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 MnO(2) nanosheets, where the fluorescence of Cu NCs was effectively quenched. Upon introducing butyrylcholinesterase and butyrylcholine into the system, their hydrolysate, thiocholine, leads to the decomposition of the platform through a reaction between the MnO(2) nanosheets and thiol groups on thiocholine. The electron-rich groups on thiocholine can further promote the fluorescence intensity of Cu NCs through host–guest interactions. Adding paraoxon results in the failure of fluorescence recovery and further promotion, which could be utilized for the quantitative detection of paraoxon, and a limit of detection as low as 0.22 ng/mL can be achieved. The detection platform shows strong tolerance to common interference species, which endows its applications for the detection of paraoxon in vegetables and fruit. These presented results not only open a new door for the functionalization of metal nanoclusters but also offer an inspiring strategy for analytic techniques in nanomedicine and environmental science. MDPI 2022-04-22 /pmc/articles/PMC9100620/ /pubmed/35564138 http://dx.doi.org/10.3390/nano12091429 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Shuo Zhang, Peng Miao, Yuming Li, Chenmin Shi, Yu-e Liu, Jinhua Lv, Yun-kai Wang, Zhenguang Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO(2) Nanosheets |
title | Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO(2) Nanosheets |
title_full | Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO(2) Nanosheets |
title_fullStr | Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO(2) Nanosheets |
title_full_unstemmed | Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO(2) Nanosheets |
title_short | Highly Selective Detection of Paraoxon in Food Based on the Platform of Cu Nanocluster/MnO(2) Nanosheets |
title_sort | highly selective detection of paraoxon in food based on the platform of cu nanocluster/mno(2) nanosheets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100620/ https://www.ncbi.nlm.nih.gov/pubmed/35564138 http://dx.doi.org/10.3390/nano12091429 |
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