Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human blood using MLR, PLS and back-propagation artificial neural networks

VK Gupta, H Khani, B Ahmadi-Roudi, S Mirakhorli… - Talanta, 2011 - Elsevier
Quantitative structure–retention relationship (QSRR) models correlating the retention times
of fatty acid methyl esters in high resolution capillary gas chromatography and their
structures were developed based on non-linear and linear modeling methods. Genetic
algorithm (GA) was used for the selection of the variables that resulted in the best-fitted
models. Gravitational index (G2), number of cis double bond (NcDB) and number of trans
double bond (NtDB) were selected among a large number of descriptors. The selected …

Prediction of Gas Chromatographic Retention Times of Fatty Acid Methyl Esters and n-Alkanes in Two Serially Connected Capillary Columns

K Katsuwon, K Aryusuk… - KMUTT Research and …, 2008 - ph02.tci-thaijo.org
Equation (1) proposed by Krisnangkura et al.(J. Chromatogr. Sci. 1997, 35, 329-332) has
been usedsuccessfully to predict gas chromatographic retention time of any solutes in a
homologous series. It isextended, in this study, to estimate the mathematical hold up times of
a two serially connected column. Theestimated hold up times are then used to predict the
retention times of fatty acid methyl esters and n-alkanesat various iso-temperatures and
carrier gas flow rates. The calculated retention times (tR (cal)) are in goodagreement with …
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