Risk-based classification system of nanomaterials

Various stakeholders are increasingly interested in the potential toxicity and other risks associated with nanomaterials throughout the different stages of a product’s life cycle (e.g., development, production, use, disposal). Risk assessment methods and tools developed and applied to chemical and biological materials may not be readily adaptable for nanomaterials because of the current uncertainty in identifying the relevant physico-chemical and biological properties that adequately describe the materials. Such uncertainty is further driven by the substantial variations in the properties of the original material due to variable manufacturing processes employed in nanomaterial production. To guide scientists and engineers in nanomaterial research and application as well as to promote the safe handling and use of these materials, we propose a decision support system for classifying nanomaterials into different risk categories. The classification system is based on a set of performance metrics that measure both the toxicity and physico-chemical characteristics of the original materials, as well as the expected environmental impacts through the product life cycle. Stochastic multicriteria acceptability analysis (SMAA-TRI), a formal decision analysis method, was used as the foundation for this task. This method allowed us to cluster various nanomaterials in different ecological T. Tervonen Faculty of Economics and Business, University of Groningen, P.O. Box 800, 9700 AV Groningen, The Netherlands e-mail: [email protected] I. Linkov (&) US Army Research and Development Center, 83 Winchester Street, Suite 1, Brookline, MA 02446, USA e-mail: [email protected] J. R. Figueira CEG-IST, Centre for Management Studies, Instituto Superior Técnico, Technical University of Lisbon, 2780-990 Porto Salvo, Portugal e-mail: [email protected] J. R. Figueira LAMSADE, Université Paris, Paris, France J. Steevens M. Chappell US Army Research and Development Center, CEERD-EP-R, Vicksburg, MS 39180, USA J. Steevens e-mail: [email protected] M. Chappell e-mail: [email protected] M. Merad Societal Management of Risks Unit/Accidental Risks Division, INERIS BP 2, 60550 Verneuil-en-Halatte, France e-mail: [email protected]