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Advancing alternatives analysis: The role of predictive toxicology in selecting safer chemical products and processes
Author(s) -
Malloy Timothy,
Zaunbrecher Virginia,
Beryt Elizabeth,
Judson Richard,
Tice Raymond,
Allard Patrick,
Blake Ann,
Cote Ila,
Godwin Hilary,
Heine Lauren,
Kerzic Patrick,
Kostal Jakub,
Marchant Gary,
McPartland Jennifer,
Moran Kelly,
Nel Andre,
Ogunseitan Oladele,
Rossi Mark,
Thayer Kristina,
Tickner Joel,
Whittaker Margaret,
Zarker Ken
Publication year - 2017
Publication title -
integrated environmental assessment and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 57
eISSN - 1551-3793
pISSN - 1551-3777
DOI - 10.1002/ieam.1923
Subject(s) - prioritization , risk analysis (engineering) , safer , biochemical engineering , computer science , toxicology , management science , engineering , business , biology , computer security
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 a more cost‐effective manner than traditional approaches. The present article briefly reviews the challenges associated with using predictive toxicology in regulatory AA, then presents 4 recommendations for its advancement. It recommends using case studies to advance the integration of predictive toxicology into AA, adopting a stepwise process to employing predictive toxicology in AA beginning with prioritization of chemicals of concern, leveraging existing resources to advance the integration of predictive toxicology into the practice of AA, and supporting transdisciplinary 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. Integr Environ Assess Manag 2017;13:915–925. © 2017 SETAC