Prediction of the upper flammability limits of organic compounds from molecular structures

Yong Pan, Juncheng Jiang, Rui Wang, Hongyin Cao, Yi Cui

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

A quantitative structure-property relationship (QSPR) study is performed to develop mathematical models for prediction of the upper flammability limits (UFL) of organic compounds from their molecular structures. The structural features of the compounds are numerically represented by various kinds of calculated molecular descriptors such as topological, charge, and geometric descriptors. The genetic algorithm combined with multiple linear regression (GA-MLR) is used to select an optimal subset of descriptors that have significant contribution to the overall UFL property from the large pool of calculated descriptors. The best resulted model is a four-variable multilinear model with a defined applicability range. The average absolute error and root-mean-square error obtained for the external test set are 1.75 vol % and 2.77, respectively. The proposed model can be used to predict the UFL of organic compounds with only four preselected theoretical descriptors which can be directly calculated from molecular structure alone.

Original languageEnglish
Pages (from-to)5064-5069
Number of pages6
JournalIndustrial and Engineering Chemistry Research
Volume48
Issue number10
DOIs
StatePublished - 20 May 2009

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