Literature DB >> 10655641

QSPR correlation and predictions of GC retention indexes for methyl-branched hydrocarbons produced by insects.

A R Katritzky1, K Chen, U Maran, D A Carlson.   

Abstract

A successful interpretation of the complex manner by which the GC retention indexes of methylalkanes produced by insects are related to chemical structure was achieved using the quantitative structure-property relationship (QSPR) method. A general QSPR model including mainly topological descriptors was obtained for 178 data points. The error of the model is similar to the experimental error. The model was supported by (i) leave-one-out cross validation and (ii) division into three sets and prediction of each set from the other two. As a further test of the utility of the model, retention indexes were successfully predicted for an external set of 30 methyl-branched hydrocarbons not involved in the deduction of the correction equation from the main data set. General trends of the structural variation of compounds in any given range of retention index are discussed. The average error was 4.6 overall and 4.3 for the 165 compounds remaining after leaving out small monomethyl alkanes.

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Year:  2000        PMID: 10655641     DOI: 10.1021/ac990800w

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  14 in total

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8.  QSRR Models for Kováts' Retention Indices of a Variety of Volatile Organic Compounds on Polar and Apolar GC Stationary Phases Using Molecular Connectivity Indexes.

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9.  Analysis of insect cuticular hydrocarbons using matrix-assisted laser desorption/ionization mass spectrometry.

Authors:  Josef Cvacka; Pavel Jiros; Jan Sobotník; Robert Hanus; Ales Svatos
Journal:  J Chem Ecol       Date:  2006-03-23       Impact factor: 2.626

10.  A quantitative structure- property relationship of gas chromatographic/mass spectrometric retention data of 85 volatile organic compounds as air pollutant materials by multivariate methods.

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Journal:  Chem Cent J       Date:  2012-05-02       Impact factor: 4.215

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