Korean Journal of Food Science and Technology (한국식품과학회지)

Korean Society of Food Science and Technology (한국식품과학회)
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Discrimination of geographical origin for soybeans using ED-XRF

ED-XRF (Energy Dispersive X-ray Fluorescence spectrometer)를 이용한 콩 원산지 판별

  • Lee, Ji-Hye (Experiment Research Institute of National Agricultural Products Quality Management Service) ;
  • Kang, Dong-Jin (Experiment Research Institute of National Agricultural Products Quality Management Service) ;
  • Jang, Eun-Hee (Experiment Research Institute of National Agricultural Products Quality Management Service) ;
  • Hur, Suel-Hye (Experiment Research Institute of National Agricultural Products Quality Management Service) ;
  • Shin, Byeung-Kon (Experiment Research Institute of National Agricultural Products Quality Management Service) ;
  • Han, Guk-Tak (Experiment Research Institute of National Agricultural Products Quality Management Service) ;
  • Lee, Seong-Hun (Experiment Research Institute of National Agricultural Products Quality Management Service)
  • 이지혜 (국립농산물품질관리원 시험연구소) ;
  • 강동진 (국립농산물품질관리원 시험연구소) ;
  • 장은희 (국립농산물품질관리원 시험연구소) ;
  • 허설혜 (국립농산물품질관리원 시험연구소) ;
  • 신병곤 (국립농산물품질관리원 시험연구소) ;
  • 한국탁 (국립농산물품질관리원 시험연구소) ;
  • 이성훈 (국립농산물품질관리원 시험연구소)
  • Received : 2020.01.31
  • Accepted : 2020.04.08
  • Published : 2020.04.30
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Abstract

In this study we developed a method for determining the geographic origin of soybeans by combining energy dispersive X-ray fluorescence spectrometry with statistical analysis. In 2018, 197 soybean samples (100 Korean domestic samples and 97 foreign samples) were collected for the construction of a geographic origin model. The mineral concentrations of 26 elements were measured and determined via the fundamental parameters approach. One-way analysis of variance, t-test, and canonical discriminant analysis were employed to reveal five elements (P, Ni, Br, Zn, and Mn) that could be used for the determination of geographic origins. The sensitivity, specificity, and efficiency for the above method were 91.0, 95.9, and 93.4%, respectively. Validation results from 60 samples collected in 2019 showed a predictive rate of 93.3% for Korean domestic soybeans and 100.0% for foreign soybeans. In conclusion, the combination of energy dispersive X-ray fluorescence spectrometry and chemometrics could be used to effectively determine the geographic origin of soybeans.

본 연구는 무기성분을 활용하여 국산 콩과 외국산 콩의 원산지 판별법을 개발하기 위해 수행하였다. 2018년도에 수집한 국산 100점, 미국, 중국, 베트남, 태국으로 구성된 외국산 97점에 대하여 ED-XRF를 이용하여 총 26종 무기성분의 농도를 산출하였다. T-test, ANOVA, CDA 분석을 통해 원산지판별에 영향을 주는 주요 변수로 5종(P, Ni, Br, Zn, Mn)의 무기성분을 선발하였다. 원산지 판별식을 설정한 결과 감응도 91.0%, 선택성 95.9%, 효율성 93.4%를 나타냈다. 2019년도에 수집한 국산 30점, 외국산 30점으로 원산지 판별식을 검증한 결과 국산 예측률 93.3%, 외국산 예측률 100.0%를 나타냈다. 복잡한 전처리 없이 ED-XRF와 통계처리를 통해 국산 콩과 외국산 콩을 판별할 수 있는 실용적인 판별 체계를 구축하였으며 부정유통 단속을 위한 과학적인 근거자료로서 활용이 가능할 것으로 판단된다.

Keywords

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