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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...

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Autores principales: Liu, Shuo, Zhang, Peng, Miao, Yuming, Li, Chenmin, Shi, Yu-e, Liu, Jinhua, Lv, Yun-kai, Wang, Zhenguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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