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Journal articles
Mixture descriptors toward the development of Quantitative Structure-Property Relationship models for the flash points of organic mixtures
Abstract : Quantitative structure-property relationships (QSPRs) are increasingly used for the prediction of physicochemical properties of pure compounds, but only a few have been developed to predict the properties of mixtures. In this work, a series of existing and new formulas were proposed to derive mixture descriptors for the development of QSPR models for mixtures. These mixture descriptors were used tomodel the flash points of a series of 435 organic mixture compositions. Multilinear models were obtained using 12 different mathematical formulas,taking into account the linear or nonlinear dependence of the flashpoint on the concentration of each compound. The best model, issued from the newly proposed (x1d1+ x2d2)2 formula, was a four-parameter model presenting good prediction capabilities (with a mean absolute error in prediction of 10.3 °C) compared with existing predictive methods for both mixtures and pure compounds.
Cited literature [76 references]
https://hal-ineris.archives-ouvertes.fr/ineris-01862521
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Submitted on : Monday, August 27, 2018 - 1:58:09 PM
Last modification on : Monday, June 14, 2021 - 10:03:32 AM
Long-term archiving on: : Wednesday, November 28, 2018 - 4:45:06 PM
Contributor : Gestionnaire Civs Connect in order to contact the contributor
Submitted on : Monday, August 27, 2018 - 1:58:09 PM
Last modification on : Monday, June 14, 2021 - 10:03:32 AM
Long-term archiving on: : Wednesday, November 28, 2018 - 4:45:06 PM
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2015-161_post-print.pdf
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