Literature DB >> 24861970

Electrochemical recognition and trace-level detection of bactericide carbendazim using carboxylic group functionalized poly(3,4-ethylenedioxythiophene) mimic electrode.

Yuanyuan Yao1, Yangping Wen2, Long Zhang3, Zifei Wang1, Hui Zhang1, Jingkun Xu4.   

Abstract

The electrochemical recognition and trace-level detection of bactericide carbendazim (MBC) in paddy water and commercial juice were realized using carboxylic group functionalized poly(3,4-ethylenedioxythiophene) (PC4-EDOT-COOH) film electrode. PC4-EDOT-COOH film was prepared by one step, low-cost, and green electrosynthesis in aqueous microemulsion system and characterized by FT-IR, cyclic voltammetry, UV-vis and SEM. In comparison with poly(3,4-ethylenedioxythiophene) (PEDOT) and poly(hydroxymethylated-3,4-ethylenedioxylthiophene) (PEDTM), PC4-EDOT-COOH exhibited the best electrochemical recognition towards MBC and the recognition mechanism was proved by quantitative calculation. Sensing parameters such as pH values, accumulation potential, accumulation time, supporting electrolyte, and scan rate on the current response of MBC were discussed. In addition, the sensor can be applied to quantification of MBC in the concentration range of 0.012-0.35 μM with a low detection limit of 3.5 nM (S/N=3). Moreover, PC4-EDOT-COOH film electrode showed good stability, high selectivity, and satisfactory anti-interference ability. Satisfactory results indicated that PC4-EDOT-COOH film is a promising sensing platform for the trace-level analysis of bactericide residue carbendazim in agricultural crops and environment.
Copyright © 2014 Elsevier B.V. All rights reserved.

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Keywords:  Carbendazim; Electrochemical sensor; Function group identification; Poly(3,4-ethylenedioxythiophene); Quantitative calculation

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Year:  2014        PMID: 24861970     DOI: 10.1016/j.aca.2014.04.059

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  1 in total

1.  Rapid Detection of Carbendazim Residue in Apple Using Surface-Enhanced Raman Scattering and Coupled Chemometric Algorithm.

Authors:  Xiaowei Huang; Ning Zhang; Zhihua Li; Jiyong Shi; Haroon Elrasheid Tahir; Yue Sun; Yang Zhang; Xinai Zhang; Melvin Holmes; Xiaobo Zou
Journal:  Foods       Date:  2022-04-28
  1 in total

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