Advancing alternatives analysis: The role of predictive toxicology in selecting safer chemical products and processes

Alternatives analysis (AA) is a method used in regulation and product design to identify, assess, and evaluate the safety and viability of potential substitutes for hazardous chemicals. It requires toxicological data for the existing chemical and potential alternatives. Predictive toxicology uses in silico and in vitro approaches, computational models, and other tools to expedite toxicological data generation in more cost-effective manner than traditional approaches. This study briefly reviews the challenges associated with using predictive toxicology in regulatory AA, then presents four recommendations for its advancement. It recommends using case studies to advance the integration of predictive toxicology into AA; adopting a stepwise process to employing predicative toxicology in AA beginning with prioritisation of chemicals of concern; leveraging existing resources to advance the integration of predictive toxicology into the practice of AA, and supporting trans-disciplinary efforts. The further incorporation of predictive toxicology into AA would advance the ability of companies and regulators to select alternatives to harmful ingredients, and potentially increase the use of predictive toxicology in regulation more broadly.

Authors: Malloy T, Zaunbrecher V, Beryt E, Judson R, Tice R, Allard P, Blake A, Cote I, Godwin H, Heine L, Kerzic P, Kostal J, Marchant G, McPartland J, Moran K, Nel A, Oguseitan O, Rossi M, Thayer K, Tickner J, Whittaker M, Zarker K. ;Full Source: Integrated Environmental Assessment & Management. 2017 Mar 1. doi: 10.1002/ieam.1923. [Epub ahead of print] ;