4.7 Article

Risk assessment of triclosan in the global environment using a probabilistic approach

Journal

ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
Volume 143, Issue -, Pages 111-119

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ecoenv.2017.05.020

Keywords

Triclosan; Exposure concentration distribution (ECD); Species sensitivity distribution; Risk assessment; Global environment

Funding

  1. Japan Society for the Promotion of Science (JSPS) [26220103, 16H01784]
  2. Ministry of Education, Culture, Sports, Science and Technology, Japan (MEXT)
  3. Grants-in-Aid for Scientific Research [26220103] Funding Source: KAKEN

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The occurrence of antimicrobial agent triclosan (TCS) in the global aquatic and terrestrial environment is an emerging concern. While risk assessment for TCS is available in certain countries, no studies have attempted to assess the risk of TCS worldwide. This could be due to lack of method to characterize the global exposure. The present study therefore proposed a probabilistic-based approach to approximate the percent-ranked measured environmental concentrations (MECs) by estimating exposure concentration distribution (ECD) for different environmental compartments on a global scale, incorporating approximate 1200 single MECs. Hazard of TCS was assessed from species sensitivity distribution as well as predicted no effect concentrations (PNECs) derived from ecotoxicological and toxicological endpoints. We draw on experiences from previous risk assessment exercises and present a holistic approach for characterizing the risk of TCS to microorganism in sewage treatment plant, aquatic and soil organisms, avian and mammalian species, and humans. Using the approach, we estimated risk of TCS to organisms dwelling in sediment and living in surface waters, and the risk quotients (MEC/PNEC) were within the range of 0.95-33.3 and 0.49-9.5, respectively. While the risk quotients for other environmental compartments were below a value of 1, there are large uncertainties likely due to an insufficient dataset of exposure and hazard of TCS.

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