 |
 |
 |
Journal articles
Prediction of the thermal decomposition of organic peroxides by validated QSPR models
Abstract : Organic peroxides are unstable chemicals which can easily decompose and may lead to explosion. Such a process can be characterized by physico-chemical parameters such as heat and temperature of decomposition, whose determination is crucial to manage related hazards. These thermal stability properties are also required within many regulatory frameworks related to chemicals in order to assess their hazardous properties. In this work, new quantitative structure–property relationships (QSPR) models were developed to predict accurately the thermal stability of organic peroxides from their molecular structure respecting the OECD guidelines for regulatory acceptability of QSPRs. Based on the acquisition of 38 reference experimental data using DSC (differential scanning calorimetry) apparatus in homogenous experimental conditions, multi-linear models were derived for the prediction of the decomposition heat and the onset temperature using different types of molecular descriptors. Models were tested by internal and external validation tests and their applicability domains were defined and analyzed. Being rigorously validated, they presented the best performances in terms of fitting, robustness and predictive power and the descriptors used in these models were linked to the peroxide bond whose breaking represents the main decomposition mechanism of organic peroxides.
Cited literature [77 references]
https://hal-ineris.archives-ouvertes.fr/ineris-01862412
Contributor : Gestionnaire Civs Connect in order to contact the contributor
Submitted on : Monday, August 27, 2018 - 12:53:34 PM
Last modification on : Wednesday, November 17, 2021 - 12:32:27 PM
Long-term archiving on: : Wednesday, November 28, 2018 - 4:52:20 PM
Contributor : Gestionnaire Civs Connect in order to contact the contributor
Submitted on : Monday, August 27, 2018 - 12:53:34 PM
Last modification on : Wednesday, November 17, 2021 - 12:32:27 PM
Long-term archiving on: : Wednesday, November 28, 2018 - 4:52:20 PM
File
2014-129_post-print.pdf
Files produced by the author(s)