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Carbon Quantum Dots Based Chemosensor Array for Monitoring Multiple Metal Ions

The simultaneous identification of multiple metal ions in water has attracted enormous research interest in the past few decades. We herein describe a novel method for multiple metal ion detection using a carbon quantum dots (CQDs)-based chemosensor array and the CQDs are functionalized with differe...

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Detalles Bibliográficos
Autores principales: Qin, Tianlei, Wang, Jiayi, Liu, Yuanli, Guo, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227453/
https://www.ncbi.nlm.nih.gov/pubmed/35744965
http://dx.doi.org/10.3390/molecules27123843
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author Qin, Tianlei
Wang, Jiayi
Liu, Yuanli
Guo, Song
author_facet Qin, Tianlei
Wang, Jiayi
Liu, Yuanli
Guo, Song
author_sort Qin, Tianlei
collection PubMed
description The simultaneous identification of multiple metal ions in water has attracted enormous research interest in the past few decades. We herein describe a novel method for multiple metal ion detection using a carbon quantum dots (CQDs)-based chemosensor array and the CQDs are functionalized with different amino acids (glutamine, histidine, arginine, lysine and proline), which act as sensing elements in the sensor array. Eleven metal ions are successfully identified by the designed chemosensor array, with 100% classification accuracy. Importantly, the proposed method allowed the quantitative prediction of the concentration of individual metal ions in the mixture with the aid of a support vector machine (SVM). The sensor array also enables the qualitative detection of unknown metal ions under the interference of tap water and local river water. Thus, the strategy provides a novel high-throughput approach for the identification of various analytes in complex systems.
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spelling pubmed-92274532022-06-25 Carbon Quantum Dots Based Chemosensor Array for Monitoring Multiple Metal Ions Qin, Tianlei Wang, Jiayi Liu, Yuanli Guo, Song Molecules Article The simultaneous identification of multiple metal ions in water has attracted enormous research interest in the past few decades. We herein describe a novel method for multiple metal ion detection using a carbon quantum dots (CQDs)-based chemosensor array and the CQDs are functionalized with different amino acids (glutamine, histidine, arginine, lysine and proline), which act as sensing elements in the sensor array. Eleven metal ions are successfully identified by the designed chemosensor array, with 100% classification accuracy. Importantly, the proposed method allowed the quantitative prediction of the concentration of individual metal ions in the mixture with the aid of a support vector machine (SVM). The sensor array also enables the qualitative detection of unknown metal ions under the interference of tap water and local river water. Thus, the strategy provides a novel high-throughput approach for the identification of various analytes in complex systems. MDPI 2022-06-15 /pmc/articles/PMC9227453/ /pubmed/35744965 http://dx.doi.org/10.3390/molecules27123843 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
Qin, Tianlei
Wang, Jiayi
Liu, Yuanli
Guo, Song
Carbon Quantum Dots Based Chemosensor Array for Monitoring Multiple Metal Ions
title Carbon Quantum Dots Based Chemosensor Array for Monitoring Multiple Metal Ions
title_full Carbon Quantum Dots Based Chemosensor Array for Monitoring Multiple Metal Ions
title_fullStr Carbon Quantum Dots Based Chemosensor Array for Monitoring Multiple Metal Ions
title_full_unstemmed Carbon Quantum Dots Based Chemosensor Array for Monitoring Multiple Metal Ions
title_short Carbon Quantum Dots Based Chemosensor Array for Monitoring Multiple Metal Ions
title_sort carbon quantum dots based chemosensor array for monitoring multiple metal ions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227453/
https://www.ncbi.nlm.nih.gov/pubmed/35744965
http://dx.doi.org/10.3390/molecules27123843
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AT liuyuanli carbonquantumdotsbasedchemosensorarrayformonitoringmultiplemetalions
AT guosong carbonquantumdotsbasedchemosensorarrayformonitoringmultiplemetalions