American Association for Aerosol Research - Abstract Submission

AAAR 37th Annual Conference
October 14 - October 18, 2019
Oregon Convention Center
Portland, Oregon, USA

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Characterisation of SVOCs Derived from Indoor Cooking and Cleaning Activities

Elizabeth Lin, Marina Vance, Delphine K. Farmer, KRYSTAL GODRI POLLITT, Yale University

     Abstract Number: 236
     Working Group: Indoor Aerosols

Abstract
Pollutant emissions from cooking and cleaning activities as well as use of personal care products are major contributors to personal exposure in the indoor environment. The HOMEChem study (House Observations of Microbial and Environmental Chemistry) was conducted to better understand these indoor exposures. During June 2018, real-world cooking activities (stir fry) as well as cleaning activities with terpene- and chlorine-containing products were conducted in the University of Texas at Austin’s test house. Each cooking and cleaning activity was sequentially repeated over different study days to facilitate comprehensive characterisation of individual activities. Layered experiments with multiple different cooking and cleaning activities over a study day were also performed to mimic real-world indoor behaviour patterns and exposure profiles. As part of the larger HOMEChem study, exposure levels to semi-volatile organic compounds (SVOCs) were measured using a low-cost air pollutant sampling device. This sampler was deployed in the kitchen of the test house for each of the sequential and layer experiments and passively absorbed SVOCs into a polydimethylsiloxane sorbent matrix. At the end of the study period, the polydimethylsiloxane samples were analysed off-line by thermal desorption high resolution gas chromatography time-of-flight mass spectrometry. Twenty-four-hour averaged concentrations of 36 SVOCs were quantified for each experiment day. Unique exposure profiles were identified for each cooking and cleaning activity. Correlations between SVOCs were evaluated using heat maps for layered activity experiments. The principal components derived from this correlation analysis will be presented.