The mixture assessment or allocation factor: conceptual background, estimation algorithms and a case study example

Abstract Current approaches for the prospective regulatory assessment of chemicals do not account sufficiently elevated mixture risks. The Mixture Assessment Factor (MAF, better labeled a Allocation Factor) has been suggested mixtures industrial in EU’s Chemicals Strategy Sustainability, as pragmatic tool to potential risks already during risk and safety individual chemicals. MAF is be applied scenarios which specific assessments are possible, due lack data and/or complexity relevant exposure scenarios. Several algorithms calculating have literature. exact , member larger ceiling class, defined maximum fraction quotient each chemical that still acceptable occur mixture, without sum quotients exceeding 1. This paper provides comparative overview different types discussed It argues most promising approach context registration authorization under frameworks such REACH because this ensures protection level similar used current REACH. Other either disproportionally impact low-risk substances, leading any appreciable reduction, or hamper communication they lead fluctuating residual after application. also presents case study comparing finally discusses concept wider regulation.