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Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples

Accurate analysis of pesticide residue in real samples is essential for food safety and environmental protection. However, a traditional electrochemical sensor based on single-signal output is easily affected by background noise, environmental conditions, electrode diversity, and a complex matrix of...

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Autores principales: Zhang, Min, Zhang, Zeyuan, Yang, Yanjing, Zhang, Yi, Wang, Yufei, Chen, Xinyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085720/
https://www.ncbi.nlm.nih.gov/pubmed/32164236
http://dx.doi.org/10.3390/s20051524
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author Zhang, Min
Zhang, Zeyuan
Yang, Yanjing
Zhang, Yi
Wang, Yufei
Chen, Xinyi
author_facet Zhang, Min
Zhang, Zeyuan
Yang, Yanjing
Zhang, Yi
Wang, Yufei
Chen, Xinyi
author_sort Zhang, Min
collection PubMed
description Accurate analysis of pesticide residue in real samples is essential for food safety and environmental protection. However, a traditional electrochemical sensor based on single-signal output is easily affected by background noise, environmental conditions, electrode diversity, and a complex matrix of samples, leading to extremely low accuracy. Hence, in this paper, a ratiometric strategy based on dual-signal output was adopted to build inner correction for sensing of widely-used carbaryl (CBL) for the first time. By comparison, Nile blue A (NB) was selected as reference probe, due to its well-defined peak, few effects on the target peak of CBL, and excellent stability. The effects of a derivatization method, technique mode, and pH were also investigated. Then the performance of the proposed ratiometric sensor was assessed in terms of three aspects including the elimination of system noise, electrode deviation and matrix effect. Compared with traditional single-signal sensor, the ratiometric sensor showed a much better linear correlation coefficient (r > 0.99), reproducibility (RSD < 10%), and limit of detection (LOD = 1.0 μM). The results indicated the introduction of proper reference probe could ensure the interdependence of target and reference signal on the same sensing environment, thus inner correction was fulfilled, which provided a promising tool for accurate analysis.
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spelling pubmed-70857202020-04-21 Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples Zhang, Min Zhang, Zeyuan Yang, Yanjing Zhang, Yi Wang, Yufei Chen, Xinyi Sensors (Basel) Article Accurate analysis of pesticide residue in real samples is essential for food safety and environmental protection. However, a traditional electrochemical sensor based on single-signal output is easily affected by background noise, environmental conditions, electrode diversity, and a complex matrix of samples, leading to extremely low accuracy. Hence, in this paper, a ratiometric strategy based on dual-signal output was adopted to build inner correction for sensing of widely-used carbaryl (CBL) for the first time. By comparison, Nile blue A (NB) was selected as reference probe, due to its well-defined peak, few effects on the target peak of CBL, and excellent stability. The effects of a derivatization method, technique mode, and pH were also investigated. Then the performance of the proposed ratiometric sensor was assessed in terms of three aspects including the elimination of system noise, electrode deviation and matrix effect. Compared with traditional single-signal sensor, the ratiometric sensor showed a much better linear correlation coefficient (r > 0.99), reproducibility (RSD < 10%), and limit of detection (LOD = 1.0 μM). The results indicated the introduction of proper reference probe could ensure the interdependence of target and reference signal on the same sensing environment, thus inner correction was fulfilled, which provided a promising tool for accurate analysis. MDPI 2020-03-10 /pmc/articles/PMC7085720/ /pubmed/32164236 http://dx.doi.org/10.3390/s20051524 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Min
Zhang, Zeyuan
Yang, Yanjing
Zhang, Yi
Wang, Yufei
Chen, Xinyi
Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples
title Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples
title_full Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples
title_fullStr Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples
title_full_unstemmed Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples
title_short Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples
title_sort ratiometric strategy for electrochemical sensing of carbaryl residue in water and vegetable samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085720/
https://www.ncbi.nlm.nih.gov/pubmed/32164236
http://dx.doi.org/10.3390/s20051524
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