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A new method to quantify the health risks from sources of perfluoroalkyl substances, combined with positive matrix factorization and risk assessment models. | LitMetric

A new method to quantify the health risks from sources of perfluoroalkyl substances, combined with positive matrix factorization and risk assessment models.

Environ Toxicol Chem

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.

Published: January 2018

AI Article Synopsis

  • * PMF identified two main sources of PFASs: one from aqueous fire-fighting foams and another from fluoropolymer manufacturing.
  • * The health risk assessment indicated an average risk level with no significant adverse effects on human health, while the risks from the identified sources varied significantly, suggesting the model's potential for informing pollution control strategies.

Article Abstract

A hybrid model based on the positive matrix factorization (PMF) model and the health risk assessment model for assessing risks associated with sources of perfluoroalkyl substances (PFASs) in water was established and applied at Dianchi Lake to test its applicability. The new method contains 2 stages: 1) the sources of PFASs were apportioned by the PMF model and 2) the contribution of health risks from each source was calculated by the new hybrid model. Two factors were extracted by PMF, with factor 1 identified as aqueous fire-fighting foams source and factor 2 as fluoropolymer manufacturing and processing and perfluorooctanoic acid production source. The health risk of PFASs in the water assessed by the health risk assessment model was 9.54 × 10  a on average, showing no obvious adverse effects to human health. The 2 sources' risks estimated by the new hybrid model ranged from 2.95 × 10 to 6.60 × 10  a and from 1.64 × 10 to 1.62 × 10  a , respectively. The new hybrid model can provide useful information on the health risks of PFAS sources, which is helpful for pollution control and environmental management. Environ Toxicol Chem 2018;37:107-115. © 2017 SETAC.

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Source
http://dx.doi.org/10.1002/etc.3955DOI Listing

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