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Simultaneous determination of three herbicides by differential pulse voltammetry and chemometrics

机译:差示脉冲伏安法和化学计量学同时测定三种除草剂

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摘要

A novel differential pulse voltammetry method (DPV) was researched and developed for the simultaneous determination of Pendimethalin, Dinoseb and sodium 5-nitroguaiacolate (5NG) with the aid of chemometrics. The voltammograms of these three compounds overlapped significantly, and to facilitate the simultaneous determination of the three analytes, chemometrics methods were applied. These included classical least squares (CLS), principal component regression (PCR), partial least squares (PLS) and radial basis function-artificial neural networks (RBF-ANN). A separately prepared verification data set was used to confirm the calibrations, which were built from the original and first derivative data matrices of the voltammograms. On the basis relative prediction errors and recoveries of the analytes, the RBF-ANN and the DPLS (D - first derivative spectra) models performed best and are particularly recommended for application. The DPLS calibration model was applied satisfactorily for the prediction of the three analytes from market vegetables and lake water samples.
机译:研究和开发了一种新的差分脉冲伏安法(DPV),用于借助化学计量学同时测定戊二甲灵,地诺塞布和5-硝基愈创木酸钠(5NG)。这三种化合物的伏安图显着重叠,为便于同时测定这三种分析物,应用了化学计量学方法。这些包括经典最小二乘(CLS),主成分回归(PCR),偏最小二乘(PLS)和径向基函数人工神经网络(RBF-ANN)。使用单独准备的验证数据集来确认校准,该校准是根据伏安图的原始和一阶导数数据矩阵构建的。基于相对预测误差和分析物的回收率,RBF-ANN和DPLS(D-一阶导数光谱)模型表现最好,特别推荐用于应用。 DPLS校准模型可令人满意地用于预测市场蔬菜和湖水样品中的三种分析物。

著录项

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  • 作者

    Yongnian Ni;

  • 作者单位

    State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China;

    Department of Chemistry, Nanchang University, Nanchang, China;

    Department of Chemistry, Queensland University of Technology, Brisbane, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 00:57:56

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