Literature DB >> 29426516

A colorimetric sensor array based on sulfuric acid assisted KMnO4 fading for the detection and identification of pesticides.

Li'na Qiao1, Sihua Qian2, Yuhui Wang3, Hengwei Lin4.   

Abstract

Pesticides play a critical role in improving crop yield in modern agriculture, but their residues significantly harm the environment and human health. Herein, a novel and simple colorimetric sensor array built on sulfuric acid assisted KMnO4 fading strategy has been developed for pesticides detection and discrimination. This sensor array is facilely fabricated by KMnO4 and sulfuric acid through simply adjusting their concentrations and ratios. Hierarchical clustering analysis (HCA) demonstrates that the as-fabricated colorimetric sensor array has a high dimensionality, and shows excellent capability to recognize common kinds of pesticides from potential interferants. Semi-quantitative detection was achieved through combining HCA and corresponding fitting curves. Moreover, the proposed sensor array was successfully applied to detect pesticide residues (e.g. carbaryl) in real samples. The strategy described herein will not only "maximally" simplify the design and fabrication approach, but expand the application fields of colorimetric sensor array methodology towards weak-reactive analytes.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Colorimetric sensor array; Hierarchical clustering analysis; Less-reactive analytes; Pesticides; Potassium permanganate

Mesh:

Substances:

Year:  2018        PMID: 29426516     DOI: 10.1016/j.talanta.2018.01.029

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


  3 in total

Review 1.  Gene Editing and Systems Biology Tools for Pesticide Bioremediation: A Review.

Authors:  Shweta Jaiswal; Dileep Kumar Singh; Pratyoosh Shukla
Journal:  Front Microbiol       Date:  2019-02-13       Impact factor: 5.640

Review 2.  Electronic Tongues for Inedible Media.

Authors:  Dmitry Kirsanov; Daniel S Correa; Gabriel Gaal; Antonio Riul; Maria L Braunger; Flavio M Shimizu; Osvaldo N Oliveira; Tao Liang; Hao Wan; Ping Wang; Ekaterina Oleneva; Andrey Legin
Journal:  Sensors (Basel)       Date:  2019-11-22       Impact factor: 3.576

3.  Detection and discrimination of sulfur dioxide using a colorimetric sensor array.

Authors:  Chaoqiang Ding; Yan Ren; Xinyang Liu; Jingjing Zeng; Xinping Yu; Daxiang Zhou; Yanjie Li
Journal:  RSC Adv       Date:  2022-09-13       Impact factor: 4.036

  3 in total

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