Mixture Descriptors toward the Development of Quantitative Structure–Property Relationship Models for the Flash Points of Organic Mixtures
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 mixtur...
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Published in | Industrial & engineering chemistry research Vol. 54; no. 25; pp. 6596 - 6604 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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American Chemical Society
01.07.2015
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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 to model 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 flash point on the concentration of each compound. The best model, issued from the newly proposed (x 1 d 1 + x 2 d 2)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. |
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AbstractList | 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 to model 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 flash point on the concentration of each compound. The best model, issued from the newly proposed (x 1 d 1 + x 2 d 2)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. 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. |
Author | Rotureau, Patricia Gaudin, Théophile Fayet, Guillaume |
AuthorAffiliation | INERIS |
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Author_xml | – sequence: 1 givenname: Théophile surname: Gaudin fullname: Gaudin, Théophile – sequence: 2 givenname: Patricia surname: Rotureau fullname: Rotureau, Patricia – sequence: 3 givenname: Guillaume surname: Fayet fullname: Fayet, Guillaume email: guillaume.fayet@ineris.fr |
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Snippet | Quantitative structure–property relationships (QSPRs) are increasingly used for the prediction of physicochemical properties of pure compounds, but only a few... Quantitative structure-property relationships (QSPRs) are increasingly used for the prediction of physicochemical properties of pure compounds, but only a few... |
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Title | Mixture Descriptors toward the Development of Quantitative Structure–Property Relationship Models for the Flash Points of Organic Mixtures |
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