Novel consensus quantitative structure-retention relationship method in prediction of pesticides retention time in nano-LC

In this study, quantitative structure-retention relationship (QSRR) methodology employed for modeling of the retention times of 16 banned pesticides in nano-liquid chromatography (nano-LC) column. Genetic algorithm-multiple linear regression (GA-MLR) method employed for developing global and consens...

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Bibliographic Details
Main Authors: Zahra Pahlavan Yali, Mohammad Hossein Fatemi
Format: Article
Language:English
Published: Iranian Chemical Society 2018-12-01
Series:Nanochemistry Research
Subjects:
Online Access:http://www.nanochemres.org/article_81111_d1b8f8d90d738cdd27ae763761309e09.pdf