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Theoretical analysis of the retention behavior of pesticides and active pharmaceutical compounds in wastewater and river waters in liquid chromatography–quadrupole-time-of-flight mass spectrometry

Journal: Asian Journal of Nanoscience and Materials (Vol.1, No. 1)

Publication Date:

Authors : ; ;

Page : 25-35

Keywords : ;

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Abstract

The pesticides and active pharmaceutical compounds in water can potentially causedamage, including theincreased cancer risk; liver, and kidney. A quantitative structure–retention relationship (QSRR) was developed using the partial least square (PLS), Kernel PLS (KPLS), and Levenberg-Marquardt artificial neural network (L-M ANN) approach for chemometrics study. The data contained retention time (RT) of the 87 pesticides and active pharmaceutical compounds in wastewater and river waters. Genetic algorithm was employed as a factor selection procedure for PLS and KPLS modeling methods. The results showed that, the GA-PLS descriptors are selected for L-M ANN. Finally a model with a low prediction error and a good correlation coefficient was obtained by L-M ANN.

Last modified: 2019-06-08 03:43:06