Volume-based size distribution of accumulation and coarse particles (PM0.1–10) from cooking fume during oil heating

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Gao, J., Cao, C., Zhang, X. and Luo, Z. orcid id iconORCID: https://orcid.org/0000-0002-2082-3958 (2013) Volume-based size distribution of accumulation and coarse particles (PM0.1–10) from cooking fume during oil heating. Building and Environment, 59. pp. 575-580. ISSN 0360-1323 doi: 10.1016/j.buildenv.2012.10.009

Abstract/Summary

Particulate matter generated during the cooking process has been identified as one of the major problems of indoor air quality and indoor environmental health. Reliable assessment of exposure to cooking-generated particles requires accurate information of emission characteristics especially the size distribution. This study characterizes the volume/mass-based size distribution of the fume particles at the oil-heating stage for the typical Chinese-style cooking in a laboratory kitchen. A laser-diffraction size analyzer is applied to measure the volume frequency of fume particles ranged from 0.1 to 10 μm, which contribute to most mass proportion in PM2.5 and PM10. Measurements show that particle emissions have little dependence on the types of vegetable oil used but have a close relationship with the heating temperature. It is found that volume frequency of fume particles in the range of 1.0–4.0 μm accounts for nearly 100% of PM0.1–10 with the mode diameter 2.7 μm, median diameter 2.6 μm, Sauter mean diameter 3.0 μm, DeBroukere mean diameter 3.2 μm, and distribution span 0.48. Such information on emission characteristics obtained in this study can be possibly used to improve the assessment of indoor air quality due to PM0.1–10 in the kitchen and residential flat.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/30244
Identification Number/DOI 10.1016/j.buildenv.2012.10.009
Refereed Yes
Divisions Science > School of the Built Environment > Urban Living group
Science > School of the Built Environment > Energy and Environmental Engineering group
Publisher Elsevier
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