TY - CONF A1 - Michael-Schulz, Heike T1 - Classification of organic peroxide and self-reactive N2 - Organic peroxide and self-reactive are classified into seven types according to their hazards. In order to determine the substance type, it is necessary to determine the properties based on test methods. The types range from type A, which is not accepted for transport in the packing in which it is tested, to type G, which is exempted from the provisions for organic peroxides or self-reactive substances. T2 - Training course of the European Chemicals Agency (ECHA) CY - Online meeting DA - 17.03.2021 KW - Organische Peroxide KW - Selbstzersetzliche Stoffe KW - Peressigsäuren KW - Self reactive substances KW - Organic peroxides KW - Peroxyacetic acids PY - 2021 AN - OPUS4-53177 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Knorr, Annett A1 - Fayet, G. A1 - Rotureau, P. A1 - Wehrstedt, Klaus-Dieter T1 - Predictive Methods for Determining the Thermal Decomposition Properties of Hazardous Substances N2 - Due to the fast development and availability of computers, predictive approaches are increasingly used in the evaluation process of hazardous substances complementary to experiments. Their use was recommended as alternative to experimental testing by the REACH regulation to complete the lack of knowledge on properties for existing substances that must be registered before 2018 (upon quantities). Among the proposed predictive approaches, Quantitative Structure Property Relationships (QSPR) are powerful methods to predict macroscopic properties from the only molecular structure of substances. In that context, the HAZPRED project (2015-2018, founded by the SAF€RA consortium) aims to develop theoretical models (e.g. QSPR) and small-scale tests to predict complex physico-chemical properties (e.g. thermal stability, explosivity) of hazardous substances to complete the lack of knowledge on these hazardous substances quickly or to understand their decomposition behaviour better. In particular, this contribution will present the work done in this project on the physical hazards of organic peroxides and self-reactive substances: gathering of existing experimental data, new experimental campaigns, review of existing models and proposition of new estimation methods. KW - QSPR KW - HAZPRED KW - Organic peroxides KW - Self-reactive substances PY - 2019 UR - https://www.aidic.it/ U6 - https://doi.org/10.3303/CET1977057 SN - 2283-9216 VL - 77 SP - 337 EP - 342 PB - AIDIC CY - Milano AN - OPUS4-51282 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Fayet, G. A1 - Rotureau, P. A1 - Wehrstedt, Klaus-Dieter A1 - Knorr, Annett T1 - Predictive Methods for Determining the Thermal Decomposition Properties of Hazardous Substances N2 - Due to the fast development and availability of computers, predictive approaches are increasingly used in the evaluation process of hazardous substances complementary to experiments. Their use was recommended as alternative to experimental testing by the REACH regulation to complete the lack of knowledge on properties for existing substances that must be registered before 2018 (upon quantities). Among the proposed predictive approaches, Quantitative Structure Property Relationships (QSPR) are powerful methods to predict macroscopic properties from the only molecular structure of substances. In that context, the HAZPRED project (2015-2018, founded by the SAF€RA consortium) aims to develop theoretical models (e.g. QSPR) and small-scale tests to predict complex physico-chemical properties (e.g. thermal stability, explosivity) of hazardous substances to complete the lack of knowledge on these hazardous substances quickly or to understand their decomposition behaviour better. In particular, this contribution will present the work done in this project on the physical hazards of organic peroxides and self-reactive substances: gathering of existing experimental data, new experimental campaigns, review of existing models and proposition of new estimation methods. T2 - 16th International Symposium on Loss Prevention and Safety Promotion in the Process Industries CY - Delft, The Netherlands DA - 16.06.2019 KW - Self-reactive substances KW - QSPR KW - HAZPRED KW - Organic peroxides PY - 2019 AN - OPUS4-49509 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -