Literature DB >> 32797872

Bioactive microfluidic paper device for pesticide determination in waters.

M D Fernández-Ramos1, A L Ogunneye2, N A A Babarinde2, M M Erenas3, L F Capitán-Vallvey3.   

Abstract

This work presents a new optical microfluidic paper biosensor for the detection of organophosphate pesticides and carbamate pesticides. The assay strip is composed of a paper support (1 × 17.6 mm) onto which acetylcholine esterase (AChE) and acetylcholine chloride (AChCl) are deposited, in such a way that there is a small hole between them that ensures that they only come into contact in the reaction zone when they are carried by a solution of the sample by lateral flow to the reaction zone containing bromocresol purple (BCP) as the pH indicator, immobilized by sol-gel. The sensor operates at room temperature and the rate of the inhibited reaction serves as an analytical signal, which is measured using a camera by quantifying the appropriate colour coordinate. Calibration curves were obtained for chlorpyrifos and carbaryl, with a useful concentration range from 0.24 to 20 μg L-1 for carbaryl and from 2.00 to 45 μg L-1 for chlorpyrifos. The detection limits were 0.24 and 2.00 μg L-1, respectively, and with reproducibility around 4.2-5.5%. The method was applied to the determination of pesticides in different water samples, with no sample preparation.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biosensor; Microfluidic paper sensor; Organophosphate and carbamate pesticides; Pesticides; Water samples

Mesh:

Substances:

Year:  2020        PMID: 32797872     DOI: 10.1016/j.talanta.2020.121108

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  4 in total

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Journal:  J Anal Methods Chem       Date:  2021-01-16       Impact factor: 2.193

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3.  Biosensor Based on Covalent Organic Framework Immobilized Acetylcholinesterase for Ratiometric Detection of Carbaryl.

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Journal:  Biosensors (Basel)       Date:  2022-08-10

4.  A Novel Method for Carbendazim High-Sensitivity Detection Based on the Combination of Metamaterial Sensor and Machine Learning.

Authors:  Ruizhao Yang; Yun Li; Jincun Zheng; Jie Qiu; Jinwen Song; Fengxia Xu; Binyi Qin
Journal:  Materials (Basel)       Date:  2022-09-02       Impact factor: 3.748

  4 in total

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