The challenge of predicting problematic chemicals using a decision analysis tool: Triclosan as a case study
| Autor: | Dallas M. Cowan, Alison M Gauthier, Tyler Ferracini, Angela L. Perez, Julie Panko, Tony Kingsbury |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Engineering business.industry Software tool Supply chain Geography Planning and Development General Medicine 010501 environmental sciences 01 natural sciences Public interest Triclosan 03 medical and health sciences chemistry.chemical_compound 030104 developmental biology Risk analysis (engineering) chemistry business 0105 earth and related environmental sciences General Environmental Science Decision analysis |
| Zdroj: | Integrated Environmental Assessment and Management. 13:198-207 |
| ISSN: | 1551-3777 |
| Popis: | Manufacturers lack a reliable means for determining whether a chemical will be targeted for deselection from their supply chain. In this analysis, 3 methods for determining whether a specific chemical (triclosan) would meet the criteria necessary for being targeted for deselection are presented. The methods included a list-based approach, use of a commercially available chemical assessment software tool run in 2 modes, and a public interest evaluation. Our results indicated that triclosan was included on only 6 of the lists reviewed, none of which were particularly influential in chemical selection decisions. The results from the chemical assessment tool evaluations indicated that human and ecological toxicity for triclosan is low and received scores indicating that the chemical would be considered of low concern. However, triclosan's peak public interest tracked several years in advance of increased regulatory scrutiny of this chemical suggesting that public pressure may have been influential in deselection decisions. Key data gaps and toxicity endpoints not yet regulated such as endocrine disruption potential or phototoxicity, but that are important to estimate the trajectory for deselection of a chemical, are discussed. Integr Environ Assess Manag 2017;13:198-207. © 2016 SETAC. |
| Databáze: | OpenAIRE |
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