An Integrated Data-Driven Strategy for Safe-by-Design Nanoparticles: The FP7 MODERN Project

M Brehm and A Kafka and M Bamler and R Kuhne and G Schuurmann and L Sikk and J Burk and P Burk and T Tamm and K Tamm and S Pokhrel and L Madler and A Kahru and V Aruoja and M Sihtmae and J Scott-Fordsmand and PB Sorensen and L Escorihuela and CP Roca and A Fernandez and F Giralt and R Rallo, MODELLING THE TOXICITY OF NANOPARTICLES, 947, 257-301 (2017).

DOI: 10.1007/978-3-319-47754-1_9

The development and implementation of safe-by-design strategies is key for the safe development of future generations of nanotechnology enabled products. The safety testing of the huge variety of nanomaterials that can be synthetized is unfeasible due to time and cost constraints. Computational modeling facilitates the implementation of alternative testing strategies in a time and cost effective way. The development of predictive nanotoxicology models requires the use of high quality experimental data on the structure, physicochemical properties and bioactivity of nanomaterials. The FP7 Project MODERN has developed and evaluated the main components of a computational framework for the evaluation of the environmental and health impacts of nanoparticles. This chapter describes each of the elements of the framework including aspects related to data generation, management and integration; development of nanodescriptors; establishment of nanostructure-activity relationships; identification of nanoparticle categories; hazard ranking and risk assessment.

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