Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications

In order to achieve rapid detection of thiamethoxam residues in mango, cowpea and water, this study modified the screen printed carbon electrode (SPCE) to make a specific molecular imprinting sensor (Thiamethoxam-MIP/Au/rGO/SPCE) for thiamethoxam. An integrated smartphone platform was also built for...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Sihua Peng, Aqiang Wang, Yuyang Lian, Xi Zhang, Bei Zeng, Qiulin Chen, Heming Yang, Jinlei Li, Limin Li, Jianguo Dan, Jianjun Liao, Shihao Zhou
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
Materias:
R
Q
Acceso en línea:https://doaj.org/article/277ecec5820842e6baf58980f9a25bcb
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:277ecec5820842e6baf58980f9a25bcb
record_format dspace
spelling oai:doaj.org-article:277ecec5820842e6baf58980f9a25bcb2021-11-18T06:34:27ZSmartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications1932-6203https://doaj.org/article/277ecec5820842e6baf58980f9a25bcb2021-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575258/?tool=EBIhttps://doaj.org/toc/1932-6203In order to achieve rapid detection of thiamethoxam residues in mango, cowpea and water, this study modified the screen printed carbon electrode (SPCE) to make a specific molecular imprinting sensor (Thiamethoxam-MIP/Au/rGO/SPCE) for thiamethoxam. An integrated smartphone platform was also built for thiamethoxam residue analysis. The performance of the complete system was analyzed by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The system was then applied for the rapid determination of thiamethoxam residues in water, mango and cowpea samples. The results showed that the molecular sensor showed good linearity in the range 0.5–3.0 μmol/L of thiamethoxam. The detection limit of thiamethoxam was 0.5 μmol/L. Moreover, the sensor had good reproducibility and anti-interference performance. The average recovery rates of the pesticide residues in water, mango and cowpea samples were in the range of 90–110% with relative standard deviations < 5%. The rapid detection system for thiamethoxam residue constructed in this study was simple, reliable, reproducible and had strong anti-interference. It has broad application prospects in the field detection of thiamethoxam residue, and serves as a valuable reference for the further development of rapid detection technology of pesticide residues in the field of environment and food safety.Sihua PengAqiang WangYuyang LianXi ZhangBei ZengQiulin ChenHeming YangJinlei LiLimin LiJianguo DanJianjun LiaoShihao ZhouPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Sihua Peng
Aqiang Wang
Yuyang Lian
Xi Zhang
Bei Zeng
Qiulin Chen
Heming Yang
Jinlei Li
Limin Li
Jianguo Dan
Jianjun Liao
Shihao Zhou
Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
description In order to achieve rapid detection of thiamethoxam residues in mango, cowpea and water, this study modified the screen printed carbon electrode (SPCE) to make a specific molecular imprinting sensor (Thiamethoxam-MIP/Au/rGO/SPCE) for thiamethoxam. An integrated smartphone platform was also built for thiamethoxam residue analysis. The performance of the complete system was analyzed by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The system was then applied for the rapid determination of thiamethoxam residues in water, mango and cowpea samples. The results showed that the molecular sensor showed good linearity in the range 0.5–3.0 μmol/L of thiamethoxam. The detection limit of thiamethoxam was 0.5 μmol/L. Moreover, the sensor had good reproducibility and anti-interference performance. The average recovery rates of the pesticide residues in water, mango and cowpea samples were in the range of 90–110% with relative standard deviations < 5%. The rapid detection system for thiamethoxam residue constructed in this study was simple, reliable, reproducible and had strong anti-interference. It has broad application prospects in the field detection of thiamethoxam residue, and serves as a valuable reference for the further development of rapid detection technology of pesticide residues in the field of environment and food safety.
format article
author Sihua Peng
Aqiang Wang
Yuyang Lian
Xi Zhang
Bei Zeng
Qiulin Chen
Heming Yang
Jinlei Li
Limin Li
Jianguo Dan
Jianjun Liao
Shihao Zhou
author_facet Sihua Peng
Aqiang Wang
Yuyang Lian
Xi Zhang
Bei Zeng
Qiulin Chen
Heming Yang
Jinlei Li
Limin Li
Jianguo Dan
Jianjun Liao
Shihao Zhou
author_sort Sihua Peng
title Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
title_short Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
title_full Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
title_fullStr Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
title_full_unstemmed Smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
title_sort smartphone-based molecularly imprinted sensors for rapid detection of thiamethoxam residues and applications
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/277ecec5820842e6baf58980f9a25bcb
work_keys_str_mv AT sihuapeng smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT aqiangwang smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT yuyanglian smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT xizhang smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT beizeng smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT qiulinchen smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT hemingyang smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT jinleili smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT liminli smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT jianguodan smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT jianjunliao smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
AT shihaozhou smartphonebasedmolecularlyimprintedsensorsforrapiddetectionofthiamethoxamresiduesandapplications
_version_ 1718424467309330432