A quantitative structure–retention relationship for the prediction of retention indices of the essential oils of Ammoides atlantica

A quantitative structure–retention relationship for the prediction of retention indices of the essential oils of Ammoides atlantica

A simple, descriptive and interpretable model, based on a quantitative structure–retention relationship (QSRR), was developed using the genetic algorithm-multiple linear regression (GA-MLR) approach for the prediction of the retention indices (RI) of essential oil components. By molecular modeling,...

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Bibliographic Details
Main Authors: PARVIZ ABEROMAND AZAR, MEHDI NEKOEI, SIAVASH RIAHI, MOHAMMAD R. GANJALI, KARIM ZARE
Format: Article
Language:English
Published: Serbian Chemical Society 2011-06-01
Series:Journal of the Serbian Chemical Society
Subjects:
chemometrics
QSRR
genetic algorithms
multiple linear regression
retention indices
essential oils
Online Access:http://www.shd.org.rs/JSCS/Vol76/No6/09_4911_4169.pdf

Internet

http://www.shd.org.rs/JSCS/Vol76/No6/09_4911_4169.pdf

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