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Sci Total Environ

Title:		Predicting the gas-phase concentration of semi-volatile organic compounds from airborne particles: Application to a French nationwide survey
Author(s):		Wei W; Mandin C; Blanchard O; Mercier F; Pelletier M; Le Bot B; Glorennec P; Ramalho O;
Address:		"University of Paris-Est, Scientific and Technical Center for Building (CSTB), Health and Comfort Department, French Indoor Air Quality Observatory (OQAI), 84 Avenue Jean Jaures, Champs sur Marne, 77447 Marne la Vallee Cedex 2, France. Electronic address: Wenjuan.Wei@cstb.fr. University of Paris-Est, Scientific and Technical Center for Building (CSTB), Health and Comfort Department, French Indoor Air Quality Observatory (OQAI), 84 Avenue Jean Jaures, Champs sur Marne, 77447 Marne la Vallee Cedex 2, France; INSERM-U1085, Irset-Research Institute for Environmental and Occupational Health, Rennes, France; LERES-Environment and Health Research Laboratory (Irset and EHESP Technologic Platform), Rennes, France. EHESP-School of Public Health, Sorbonne Paris Cite, Rennes, France; INSERM-U1085, Irset-Research Institute for Environmental and Occupational Health, Rennes, France. EHESP-School of Public Health, Sorbonne Paris Cite, Rennes, France; INSERM-U1085, Irset-Research Institute for Environmental and Occupational Health, Rennes, France; LERES-Environment and Health Research Laboratory (Irset and EHESP Technologic Platform), Rennes, France. University of Paris-Est, Scientific and Technical Center for Building (CSTB), Health and Comfort Department, French Indoor Air Quality Observatory (OQAI), 84 Avenue Jean Jaures, Champs sur Marne, 77447 Marne la Vallee Cedex 2, France"
Journal Title:		Sci Total Environ
Year:		2017
Volume:		20161024
Issue:
Page Number:		319 - 325
DOI:		10.1016/j.scitotenv.2016.10.074
ISSN/ISBN:		1879-1026 (Electronic) 0048-9697 (Linking)
Abstract:		"Semi-volatile organic compounds (SVOCs) partition indoors between the gas phase, airborne particles, settled dust, and other surfaces. Unknown concentrations of SVOCs in the gas phase (C(g)) can be predicted from their measured concentrations in airborne particles. In previous studies, the prediction of C(g) depended largely on choosing a specific equation for the calculation of the particle/gas partition coefficient. Moreover, the prediction of C(g) is frequently performed at a reference temperature rather than the real indoor temperature. In this paper, a probabilistic approach based on Monte Carlo simulation was developed to predict the distribution of SVOCs' C(g) from their concentrations in airborne particles at the target indoor temperature. Moreover, the distribution of the particle/gas partition coefficient of each SVOC at the target temperature was used. The approach was validated using two measured datasets in the literature: the predicted C(g) from concentrations measured in airborne particles and the measured C(g) were generally of the same order of magnitude. The distributions of the C(g) of 66 SVOCs in the French housing stock were then predicted. The SVOCs with the highest median C(g), ranging from 1ng/m(3) to >100ng/m(3), included 8 phthalates (DEP, DiBP, DBP, DEHP, BBP, DMP, DiNP, and DMEP), 4 polycyclic aromatic hydrocarbons (fluorene, phenanthrene, fluoranthene, and anthracene), 2 alkylphenols (4-tert-butylphenol and 4-tert-octylphenol), 2 synthetic musks (galaxolide and tonalide), tributyl phosphate, and heptachlor. The nationwide, representative, predicted C(g) values of SVOCs are frequently of the same order of magnitude in Europe and North America, whereas these C(g) values in Chinese and Indian dwellings and the C(g) of polybrominated diphenyl ethers in U.S. dwellings are generally higher"
Keywords:		Built environment Dwelling Indoor air Modeling Monte Carlo simulation Svoc;
Notes:		"PubMed-not-MEDLINEWei, Wenjuan Mandin, Corinne Blanchard, Olivier Mercier, Fabien Pelletier, Maud Le Bot, Barbara Glorennec, Philippe Ramalho, Olivier eng Netherlands 2016/10/28 Sci Total Environ. 2017 Jan 15; 576:319-325. doi: 10.1016/j.scitotenv.2016.10.074. Epub 2016 Oct 24"