식품표면에 부착된 미세먼지의 정량법An automated determination method of particulate matter on food surface
- Authors
- Park, Sun-Young; Bang, Bong-Jun; Lim, Dayoung; Chung, Donghwa; Lee, 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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