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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.11
- 수록면
- 174 - 174 (1page)
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Soybeans (Glycine max(L.) Merrill) have been utilized as principal food resources owing to their rich nutrients including protein, fat, vitamin B, and mineral. Consumers are increasingly concerned about the origin of foods, so accurate labelling of origin has become very important. In this study, a non-destructive and rapid technique like energy dispersive X-ray fluorescence spectrometry (ED-XRF) and near-infrared reflectance spectroscopy (NIRS) was applied for classifying the geographical origin of soybeans. Multivariate statistical methods, including principal component analysis (PCA), discriminant analysis (DA), and discriminant partial least squares (DPLS), were applied to the spectral data to discriminate the origin of soybeans. A statistically significant difference was observed in the elemental determination of Al, P, S, Cl, Ca, Fe, Ni, Cu, and Zn between domesti ... 전체 초록 보기
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