Literature DB >> 10956142

Quantitative structure-odor relationships of aliphatic esters using topological indices.

R D de Mello Castanho Amboni1, B da Silva Junkes, R A Yunes, V E Heinzen.   

Abstract

Quantitative structure-activity relationships (QSAR) were used in this study to relate the structural parameters (electronic, topological, etc.) to the odor of 27 aliphatic esters previously evaluated by Rossiter. Rossiter used the Hansch approach, principal component analysis and comparative molecular field analysis (CoMFA) to predict the odor of these esters. Different structural parameters were selected, such as topological, physicochemical, and quantum-chemical indices, to find an equation to predict the molecular factors that determine the fruit odor of these compounds and to compare such results with those obtained by Rossiter. Two significant correlation equations were obtained with the following molecular descriptors: one with the electrotopological-state index related to the carbon atom of the carbonyl group (S(C)(=)(O)), the Kappa index ((2)Kappa), and the topological-state index related to the oxygen on the alcoholic side of the molecule (T(-)(O)(-)), and the other with (2)Kappa, S(C)(=)(O), and the energy of the highest occupied molecular orbital (E(HOMO)). The model found had a good predictive ability as established by cross-validation r(2)(cv) values and thus can be used to help in the prediction of odor of similar compounds. This method is simplier than the methods used by Rossiter and represents a reliable QSAR alternative in predicting the fruit odor of such aliphatic esters.

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Year:  2000        PMID: 10956142     DOI: 10.1021/jf991039u

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  3 in total

1.  Semi-empirical topological index: a tool for QSPR/QSAR studies.

Authors:  Berenice da Silva Junkes; Anna Celia Silva Arruda; Rosendo Augusto Yunes; Ledilege Cucco Porto; Vilma Edite Fonseca Heinzen
Journal:  J Mol Model       Date:  2005-02-19       Impact factor: 1.810

2.  Comparison of Volatile Profiles of Meads and Related Unifloral Honeys: Traceability Markers.

Authors:  Piotr M Kuś; Sławomir Czabaj; Igor Jerković
Journal:  Molecules       Date:  2022-07-17       Impact factor: 4.927

3.  Predicting olfactory receptor neuron responses from odorant structure.

Authors:  Michael Schmuker; Marien de Bruyne; Melanie Hähnel; Gisbert Schneider
Journal:  Chem Cent J       Date:  2007-05-04       Impact factor: 4.215

  3 in total

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