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Chemosphere

Title:		"VOC composition of current motor vehicle fuels and vapors, and collinearity analyses for receptor modeling"
Author(s):		Chin JY; Batterman SA;
Address:		"University of Michigan, School of Public Health, Environmental Health Sciences, 1420 Washington Heights, Ann Arbor, MI 48109-2029, USA"
Journal Title:		Chemosphere
Year:		2012
Volume:		20111210
Issue:		9
Page Number:		951 - 958
DOI:		10.1016/j.chemosphere.2011.11.017
ISSN/ISBN:		1879-1298 (Electronic) 0045-6535 (Print) 0045-6535 (Linking)
Abstract:		"The formulation of motor vehicle fuels can alter the magnitude and composition of evaporative and exhaust emissions occurring throughout the fuel cycle. Information regarding the volatile organic compound (VOC) composition of motor fuels other than gasoline is scarce, especially for bioethanol and biodiesel blends. This study examines the liquid and vapor (headspace) composition of four contemporary and commercially available fuels: gasoline (<10% ethanol), E85 (85% ethanol and 15% gasoline), ultra-low sulfur diesel (ULSD), and B20 (20% soy-biodiesel and 80% ULSD). The composition of gasoline and E85 in both neat fuel and headspace vapor was dominated by aromatics and n-heptane. Despite its low gasoline content, E85 vapor contained higher concentrations of several VOCs than those in gasoline vapor, likely due to adjustments in its formulation. Temperature changes produced greater changes in the partial pressures of 17 VOCs in E85 than in gasoline, and large shifts in the VOC composition. B20 and ULSD were dominated by C(9) to C(16)n-alkanes and low levels of the aromatics, and the two fuels had similar headspace vapor composition and concentrations. While the headspace composition predicted using vapor-liquid equilibrium theory was closely correlated to measurements, E85 vapor concentrations were underpredicted. Based on variance decomposition analyses, gasoline and diesel fuels and their vapors VOC were distinct, but B20 and ULSD fuels and vapors were highly collinear. These results can be used to estimate fuel related emissions and exposures, particularly in receptor models that apportion emission sources, and the collinearity analysis suggests that gasoline- and diesel-related emissions can be distinguished"
Keywords:		"Gasoline/*analysis *Models, Theoretical *Motor Vehicles Temperature Vehicle Emissions/analysis Volatile Organic Compounds/analysis/*chemistry Volatilization;"
Notes:		"MedlineChin, Jo-Yu Batterman, Stuart A eng P30 ES017885/ES/NIEHS NIH HHS/ Research Support, Non-U.S. Gov't England 2011/12/14 Chemosphere. 2012 Mar; 86(9):951-8. doi: 10.1016/j.chemosphere.2011.11.017. Epub 2011 Dec 10"