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Coordination of European Research on Industrial Safety towards Smart and Sustainable Growth

Predictive methods for determining the decomposition properties of hazardous substances: from development to experimental verification

2014-04 to 2017-06

  • Up to now, experimental characterization is used by laboratories to  gather data considering physico-chemical hazardous properties of  energetic substances. Due to the fact that these tests are complex,  costly and require a large amount of substances (more than 1 kg for  hazardous properties such as explosivity) and dedicated facilities (both  small and large scale), alternative or predictive methods are more and  more encouraged. In particular, the development and use of QSPR models  are recommended by the REACH regulation. Moreover, QSPR or small-scale  tests (requiring lower quantities of materials) present a real interest  for screening purposes in R&D development phases (even when  chemicals are not yet synthesized) or when they are very expensive or  dangerous for the users (e.g. toxic). These both predictive methods can  be used to replace huge experimental characterization and prevent that  valuable time and costs are spent on potential late-stage failures.  In this context, the HAZPRED project addresses the development and  valorization (use) of predictive methods, in particular QSPR and  small-scale tests, for investigating hazardous properties and behaviours  of hazardous substances (like organic peroxides and self-reactive  substances) in a regulatory or risk assessment context.

  • Within the framework of the European REACH regulation1, a large  number of (eco)-toxicological but also physico-chemical properties are  required for the registration of substances in the perspective of  industrial scale production. For reasons of time, cost, availability of  laboratories and ethics (in case of experiment on animals), companies  are encouraged to present alternative testing strategies, such as  computational chemistry and molecular modelling tools. Indeed, the REACH  regulation recommended the use of alternative methods to experiment and  in particular QSPR methods that can predict properties using only the  molecular structure of substances. These methods also benefit from  recognized validation principles, established by OECD, to ensure their  transparency, reproducibility and accuracy, in terms of fitting,  robustness and predictive capabilities and to allow their use in a  regulatory context.

    Beyond this regulatory context and  considering the fast development and availability of computers, such  models allow industries to qualify new hazardous substances in a risk  assessment process and developers of new chemicals to integrate safety  considerations in the early steps of their development, even before the  synthesis of identified molecules of interest. It can facilitate the  rational design of new or alternative processes and products, for  example when testing is expensive or impractical or when ‘green’  alternatives are a must. In this way, R&D can focus on the most  promising candidates and this will cut costs and development time,  allowing timely elimination of future failures. So, the integration of  predictive and experimental knowledge will aid decision-making.   While such models have already been developed for some physico-chemical  properties, only few of them followed the different OECD validation  criteria, in particular for hazardous physico-chemical properties  (flammability and explosivity). First attempts were made to predict  reactivity hazards of organic peroxides using the QSPR approach but a  huge need is still growing to enhance the safety knowledge of these  reactive substances. This proposal addresses the development of two  complementary predictive methods, QSPR and small-scale tests, for  investigating hazardous properties of these chemicals based on solid  experimental databases.

  • Results of the project will be helpful for different stakeholders such  as regulators of chemicals and industry. Predicted data will guide  decisions in the R&D of new (hazardous) substances. In this way,  spending valuable time and money on potential future failures can be  avoided or at least be reduced considerably. In particular, QSPR models  will allow the a priori estimation of physico-chemical properties  without any experimental testing, even before their synthesis, to  identify at early steps of development high potential candidates and to  eliminate potentially hazardous compounds. This in silico approach  presents a great interest for industries in the context of the screening  of properties but also for substitution or elimination of dangerous  chemicals in the context of REACH regulation. The outcome of this work  will also be beneficial for industries to become REACH-compliant.

  • The project will be divided into 4 technical work packages and  another for the project management, that can be summarized as follows:

    • initial database set-up from existing information (WP 1)

    • consolidation of the database by experimental tests (WP 2)

    • development and validation of models (WP 3)

    • valorization and implementation of predicted data (WP4)

    • project management (WP5)

  • HAZPRED: presentation at fourth SAF€RA symposium

    Publication date:

    26/08/16

    License:

    CC BY

    Type:

    Presentation

    A presentation of project progress at the fourth SAF€RA symposium, organized in Athens in April 2016.

  • Antoine van de Heijden

    TNO

    The Netherlands

    Wim Mak

    TNO

    The Netherlands

    Marola van Lipzig

    TNO

    The Netherlands

    Petr Lepik

    CZ-TPIS

    Czech Republic

    Anka Berger

    BAM

    Germany

    Guillaume Fayet

    INERIS

    France

    Patricia Rotureau

    INERIS

    France

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