Abstract
Background: Persistent, Mobile and Toxic (PMT), or very Persistent and very Mobile (vPvM) substances are a wide class of chemicals that are recalcitrant to degradation, easily transported, and potentially harmful to humans and the environment. Due to their persistence and mobility, these substances are often widespread in the environment once emitted, particularly in water resources, causing increased challenges during water treatment processes. Some PMT/vPvM substances such as GenX and perfluorobutane sulfonic acid have been identified as substances of very high concern (SVHCs) under the European Registration, Evaluation, Authorisation and Restriction of Chemicals (REACH) regulation. With hundreds to thousands of potential PMT/vPvM substances yet to be assessed and managed, effective and efficient approaches that avoid a case-by-case assessment and prevent regrettable substitution are necessary to achieve the European Union's zero-pollution goal for a non-toxic environment by 2050. Main: Substance grouping has helped global regulation of some highly hazardous chemicals, e.g., through the Montreal Protocol and the Stockholm Convention. This article explores the potential of grouping strategies for assessing and managing PMT/vPvM substances. It provides an overview of PMT/vPvM substances and reviews the definition of PMT/vPvM criteria and various lists of PMT/vPvM substances available. It covers the current definition of groups, compares the use of substance grouping for hazard assessment and regulation, and discusses the advantages and disadvantages of grouping substances for regulation. The article then explores strategies for grouping PMT/vPvM substances, including read-across, structural similarity and commonly retained moieties, as well as the potential application of these strategies using cheminformatics to predict P, M and T properties for selected examples. Conclusion: Effective substance grouping can accelerate the assessment and management of PMT/vPvM substances, especially for substances that lack information. Advances to read-across methods and cheminformatics tools are needed to support efficient and effective chemical management, preventing broad entry of hazardous chemicals into the global market and favouring safer and more sustainable alternatives.
Supplementary weblinks
Title
NORMAN Suspect List Exchange (NORMAN-SLE)
Description
The datasets analysed during the current study are available on the NORMAN Suspect List Exchange (NORMAN-SLE - https://www.norman-network.com/nds/SLE/) and on Zenodo under the following DOIs: S36 UBAPMT (DOI: 10.5281/zenodo.6482414), S82 EAWAGPMT (DOI: 10.5281/zenodo.5500132), S84 UFZHSFPMT (DOI: 10.5281/zenodo.5535288), S90 ZeroPMBox1 (DOI: 10.5281/zenodo.5854252), S111 PMTPFAS (DOI: 10.5281/zenodo.8417075).
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PubChemLite for Exposomics v1.27.0
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Some calculations in this article were done on this version of PubChemLite for Exposomics.
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PubChem Transformations Dataset v0.1.6
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Some calculations in this article were done on this version of the PubChem Transformations Dataset.
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PubChem PFAS Tree
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Some calculations in this article were done using the PubChem PFAS Tree.
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