Simultaneous determination of three organophosphorus pesticides residues in vegetables using continuous-flow chemiluminescence with artificial neural network calibration
Simultaneous determination of three organophosphorus pesticides residues in vegetables using continuous-flow chemiluminescence with artificial neural network calibration
复制标题
DOI：
10.1016/j.talanta.2006.10.023
复制
发表时间：
2007-04-15
期刊：
影响因子：
6.1
通讯作者：
Xu, Chunli
中科院分区：
文献类型：
--
作者：
Li, Baoxin;He, Yuezhen;Xu, Chunli
本文提出了一种人工神经网络校正连续流动化学发光体系，用于同时测定三种有机磷农药残留。该方法是基于有机磷农药在紫外光照射下，以过硫酸钾为氧化剂，可分解为正磷酸盐，且不同分子结构的有机磷农药分解动力学特征有显著差异。生成的正磷酸盐可与钒酸盐、钨酸盐反应生成钒钼磷杂多酸，该杂多酸可氧化鲁米诺产生强烈的化学发光。在0-250 s范围内每2 s测量并记录溶液的CL强度。用BP学习算法训练的三层前馈人工神经网络对所得数据进行化学计量学处理，网络的输入节点、隐节点和输出节点分别为65、21和3。该方法已成功地应用于蔬菜样品中3种有机磷农药残留的同时测定。(C)2006 Elsevier B. V.保留所有权利。
In this article, a continuous-flow chemiluminescence (CL) system with artificial neural network calibration is proposed for simultaneous determination of three organophosphorus pesiticides residues. This method is based on the fact that organophosphorus pesticides can be decomposed into orthophosphate with potassium peroxodisulphate as oxidant under ultraviolet radiation and that the decomposing kinetic characteristics of the organophosphorus pesticides with different molecular structure are significantly different. The produced orthophosphate can react with molybdate and vanadate to form the vanadomolybdophosphoric heteropoly acid, which can oxidize luminol to produce intense CL emission. The CL intensity of the solution was measured and recorded every 2 s in the range of 0-250 s. The obtained data were processed chemometrically by use of a three-layered feed-forward artificial neural network trained by back-propagation learning algorithm, in which input node, hidden node and output nodes were 65, 21 and 3, respectively. The proposed multi-residue analysis method was successfully applied to the simultaneous determination of the three organophosphorus pesticides residue in some vegetables samples. (C) 2006 Elsevier B.V. All rights reserved.