Application of artificial neural networks to the determination of pesticides by linear sweep stripping voltammetry  

作　　者：Ping Qiu Yong-Nian Ni Serge Kokot 

机构地区：[1]Key Laboratory of Food Science and Technology,Nanchang University [2]Department of Chemistry,Nanchang University [3]School of Chemistry,Physics and Mechanical Engineering,Faculty of Science and Engineering,Queensland University of Technology

出　　处：《Chinese Chemical Letters》2013年第3期246-248,共3页中国化学快报（英文版）

基　　金：support by the National Natural Science Foundation of China(No.21065007);the State Key Laboratory of Food Science and Technology of Nanchang University(Nos.SKLF-MB-201002 and SKLF-TS-200919);Jiangxi Province Education Department Science Foundation(No. GJJ10037)

摘　　要：In this work, artificial neural network （ANN）, a powerful chemometrics approach for linear and nonlinear calibration models, was applied to detect three pesticides in mixtures by linear sweep stripping voltammetry （LSSV） despite their overlapped voltammograms. Electrochemical parameters for the voltammetry, such as scan rate, deposit time and deposit potential, were evaluated and optimized from the signal response data using ANN model by minimizing the relative prediction error （RPE）. The proposed method was successfully applied to the detection of pesticides in synthetic samples and several commercial fruit samples.In this work, artificial neural network （ANN）, a powerful chemometrics approach for linear and nonlinear calibration models, was applied to detect three pesticides in mixtures by linear sweep stripping voltammetry （LSSV） despite their overlapped voltammograms. Electrochemical parameters for the voltammetry, such as scan rate, deposit time and deposit potential, were evaluated and optimized from the signal response data using ANN model by minimizing the relative prediction error （RPE）. The proposed method was successfully applied to the detection of pesticides in synthetic samples and several commercial fruit samples.

关 键 词：Artificial neural networksLinear sweep stripping voltammetryPesticidesOverlapped peaks resolution 

分 类 号：TS255.7[轻工技术与工程—农产品加工及贮藏工程] O657.1[轻工技术与工程—食品科学与工程]