Title: | The reproducibility of indoor air pollution (IAP) measurement: a test case for the measurement of key air pollutants from the pan frying of fish samples |
Author(s): | Kim KH; Kim YH; Kim BW; Ahn JH; Bae MS; Brown RJ; |
Address: | "Department of Civil & Environmental Engineering, Hanyang University, 222 Wangsimni-Ro, Seoul 133-791, Republic of Korea. Department of Environmental Engineering, Mokpo National University, Mokpo 534-729, Republic of Korea. Analytical Science Division, National Physical Laboratory, Teddington TW11 0LW, UK" |
ISSN/ISBN: | 1537-744X (Electronic) 2356-6140 (Print) 1537-744X (Linking) |
Abstract: | "To assess the robustness of various indoor air quality (IAQ) indices, we explored the possible role of reproducibility-induced variability in the measurements of different pollutants under similar sampling and emissions conditions. Polluted indoor conditions were generated by pan frying fish samples in a closed room. A total of 11 experiments were carried out to measure a list of key variables commonly used to represent indoor air pollution (IAP) indicators such as particulate matter (PM: PM1, PM2.5, PM10, and TSP) and a set of individual volatile organic compounds (VOCs) with some odor markers. The cooking activity conducted as part of our experiments was successful to consistently generate significant pollution levels (mean PM10: 7110 mug m(-3) and mean total VOC (TVOC): 1400 mug m(-3), resp.). Then, relative standard error (RSE) was computed to assess the reproducibility between different IAP paramters measured across the repeated experiments. If the results were evaluated by an arbitrary criterion of 10%, the patterns were divided into two data groups (e.g., <10% for benzene and some aldehydes and >10% for the remainders). Most noticeably, TVOC had the most repeatable results with a reproducibility (RSE) value of 3.2% (n = 11)" |
Keywords: | "Air Pollution, Indoor/*analysis Cooking/standards Particulate Matter/*analysis Reproducibility of Results Seafood;" |
Notes: | "MedlineKim, Ki-Hyun Kim, Yong-Hyun Kim, Bo-Won Ahn, Jeong-Hyeon Bae, Min-Suk Brown, Richard J C eng Research Support, Non-U.S. Gov't 2014/07/24 ScientificWorldJournal. 2014; 2014:236501. doi: 10.1155/2014/236501. Epub 2014 Jun 25" |