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식품표면에 부착된 미세먼지의 정량법An automated determination method of particulate matter on food surface

Authors
Park, Sun-YoungBang, Bong-JunLim, DayoungChung, DonghwaLee, Dong-Un
Issue Date
2021
Publisher
한국식품과학회
Keywords
particulate matter; food contamination; SEM; object-based image analysis
Citation
식품과학과 산업, v.54, no.1, pp 29 - 33
Pages
5
Journal Title
식품과학과 산업
Volume
54
Number
1
Start Page
29
End Page
33
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/52788
ISSN
0257-2397
Abstract
Particulate matter (PM) is an air pollutant that causes serious environmental problems in Korea and other countries. The annual average PM10 concentration in Korea is around 40 ㎛/m3, which is more than twice as high as the WHO recommended standard. When consumed with food, fine PM can pose a risk to humans. However, the risk of fine PM has been focused on the risk of fine PM introduced through the respiratory system. We investigated the quantitative measuring methods of PM10 on food surface to identify possible risk analysis of fine PM. The surfaces of food with artificially contaminated PM10 were observed with a scanning electron microscope(SEM). An automatic object-based image analysis was used to analyze the amount and size distribution of particulate matter contained in SEM micrographs.
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대학원 (식품생명공학과)
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