Simultaneous determination of three herbicides by differential pulse voltammetry and chemometrics

Abstract

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.

Keywords:

• Differential pulse voltammetry
• herbicides
• principal component regression
• partial least squares
• artificial neural networks
• chemometrics

Acknowledgments

This work was support by the National Natural Science Foundation of China (NSFC21065007) and the State Key Laboratory of Food Science and Technology of Nanchang University (SKLF-MB201002 and SKLF–TS200919).