Estimation of the Emission Characteristics of SVOCs from Household Articles Using Group Contribution Methods.

Autor: Addington CK; Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, Tennessee 37830, United States.; U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States., Phillips KA; U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States., Isaacs KK; U.S. Environmental Protection Agency, Office of Research and Development, National Exposure Research Laboratory, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.
Jazyk: angličtina
Zdroj: Environmental science & technology [Environ Sci Technol] 2020 Jan 07; Vol. 54 (1), pp. 110-119. Date of Electronic Publication: 2019 Dec 26.
DOI: 10.1021/acs.est.9b06118
Abstrakt: The risk to humans from chemicals in consumer products is a function of both hazard and exposure. There is an ongoing effort to quantify chemical exposure due to household articles such as furniture and building materials. Polymers and plastic materials make up a substantial portion of these articles, which may contain chemical additives such as plasticizers. When these additives are not bound to the polymer matrix, they are free to diffuse throughout it and leach or emit from the surface. We have implemented a methodology to predict plasticizer emission from polyvinyl chloride (PVC) products, based on group contribution methods that consider a free volume effect to estimate activity coefficients for chemicals in polymer-solvent solutions. Using the estimated activity coefficients, we calculate steady-state gas phase concentrations for plasticizers in equilibrium with the polymer surface ( y 0 ). The method uses only the structure of the chemical and polymer, the weight fraction, and physical-chemical properties, allowing rapid estimation of y 0 at different weight fractions in PVC. Using the predicted y 0 values and weight fraction data gleaned from public databases, we estimate plasticizer exposures associated with 72 PVC-containing articles using a high-throughput model. We also investigate potential exposures associated with plasticizer substitutions in these products.
Databáze: MEDLINE