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

• Published in: Han'guk Sikp'um Kwahakhoe Chi = Korean Journal of Food Science and Technology Vol. 52; no. 2; pp. 125 - 129
• Main Authors: 이지혜(Ji-Hye Lee), 강동진(Dong-Jin Kang), 장은희(Eun-Hee Jang), 허설혜(Suel-Hye Hur), 신병곤(Byeung-Kon Shin), 한국탁(Guk-Tak Han), 이성훈(Seong-Hun Lee)
• Format: Journal Article
• Language: Korean
• Published: Seoul 한국식품과학회 01.04.2020; Korean Society of Food Science & Technology
• Subjects: Chemometrics; Discriminant analysis; Dispersion; Energy dispersive X ray spectroscopy; Fluorescence; Manganese; Nickel; Scientific imaging; Soybeans; Spectrometry; Statistical analysis; Statistical methods; Variance analysis; X ray fluorescence analysis; X-ray fluorescence; 식품과학; geographic origin; mineral concentrations; ED-XRF; soybeans; discrimination model
• ISSN: 0367-6293; 2383-9635
• DOI: 10.9721/KJFST.2020.52.2.125

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.