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