A QSRR model for predicting gas chromatography retention indices of essential oils using an improved chemical reaction optimization algorithm

References:

21

Abstract

A quantitative structure-retention relationship (QSRR) model with chemical reaction optimization algorithm (CROA) for predicting retention indices (RI) of 169 constituents of essential oils is proposed.In this, the CROA is utilized to select the most informative descriptors with high prediction.The proposed model was internal and external validated based onand the applicability domain (AD).The val...

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Keywords

Gas chromatography

Kovats retention index

Chromatography

Chemistry

2021

Article

Open Access

Institution

Department of General Science, University of Mosul, Mosul, Iraq

2-Y Citation Average

0.712

DOI

https://doi.org/10.21608/ejchem.2021.32116.2682

Language

en

Country

Iraq

A QSRR model for predicting gas chromatography retention indices of essential oils using an improved chemical reaction optimization algorithm

Egyptian Journal of Chemistry

Maimoonah Qasim

References:

21

Abstract

A quantitative structure-retention relationship (QSRR) model with chemical reaction optimization algorithm (CROA) for predicting retention indices (RI) of 169 constituents of essential oils is proposed.In this, the CROA is utilized to select the most informative descriptors with high prediction.The proposed model was internal and external validated based onand the applicability domain (AD).The val...