- Authors:
- DOI:
- 10.1016/j.atmosenv.2010.06.029
- Abstract:
- Semivolatile organic compounds (SVOCs) are a major class of indoor pollutants. Understanding SVOC partitioning between the gas phase and settled dust is important for characterizing the fate of these species indoors and the pathways by which humans are exposed to them. Such knowledge also helps in crafting measurement programs for epidemiological studies designed to probe potential associations between exposure to these compounds and adverse health effects. In this paper, we analyze published data from nineteen studies that cumulatively report measurements of dustborne and airborne SVOCs in more than a thousand buildings, mostly residences, in seven countries. In aggregate, measured median data are reported in these studies for 66 different SVOCs whose octanol-air partition coefficients (K-oa) span more than five orders of magnitude. We use these data to test a simple equilibrium model for estimating the partitioning of an SVOC between the gas phase and settled dust indoors. The results demonstrate, in central tendency, that a compound's octanol-air partition coefficient is a strong predictor of its abundance in settled dust relative to its gas phase concentration. Using median measured results for each SVOC in each study, dustborne mass fractions predicted using K-oa and gas-phase concentrations correlate reasonably well with measured dustborne mass fractions (R-2 = 0.76). Combined with theoretical understanding of SVOC partitioning kinetics, the empirical evidence also suggests that for SVOCs with high K-oa values, the mass fraction in settled dust may not have sufficient time to equilibrate with the gas phase concentration.
- Type:
- Journal article
- Language:
- English
- Published in:
- Atmospheric Environment, 2010, Vol 44, Issue 30, p. 3609-3620
- Keywords:
- Octanol-air partitioning; Pesticides; Flame retardants; Plasticizers; Exposure pathways; Indoor environment
- Main Research Area:
- Science/technology
- Publication Status:
- Published
- Review type:
- Peer Review
- Submission year:
- 2010
- Scientific Level:
- Scientific
- ID:
- 78923082
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