Food Science and Industry (식품과학과 산업)

Korean Society of Food Science and Technology (한국식품과학회)
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An automated determination method of particulate matter on food surface

식품표면에 부착된 미세먼지의 정량법

  • Park, Sun-Young (Department of Food Science and Biotechnology, Chung-Ang University) ;
  • Bang, Bong-Jun (Department of Food Science and Biotechnology, Chung-Ang University) ;
  • Lim, Dayoung (Food Technology Major, Graduate School of International Agricultural Technology, Seoul National University) ;
  • Chung, Donghwa (Food Technology Major, Graduate School of International Agricultural Technology, Seoul National University) ;
  • Lee, Dong-Un (Department of Food Science and Biotechnology, Chung-Ang University)
  • 박선영 (중앙대학교 식품생명공학과) ;
  • 방봉준 (중앙대학교 식품생명공학과) ;
  • 임다영 (서울대학교 국제농업기술대학원 바이오식품산업전공) ;
  • 정동화 (서울대학교 국제농업기술대학원 바이오식품산업전공) ;
  • 이동언 (중앙대학교 식품생명공학과)
  • Received : 2021.02.09
  • Accepted : 2021.03.22
  • Published : 2021.03.31
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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 ㎛/㎥, 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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References

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