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Discrimination of the Geographical Origin of Soybeans Using NMR-Based Metabolomics

Title
Discrimination of the Geographical Origin of Soybeans Using NMR-Based Metabolomics
Authors
Zhou, YaoyaoKim, Seok-YoungLee, Jae-SoungShin, Byeung-KonSeo, Jeong-AhKim, Young-SukLee, Do-YupChoi, Hyung-Kyoon
Ewha Authors
김영석
SCOPUS Author ID
김영석scopus
Issue Date
2021
Journal Title
FOODS
ISSN
2304-8158JCR Link
Citation
FOODS vol. 10, no. 2
Keywords
metabolic profilingGlycine maxNMRgeographical locationprediction
Publisher
MDPI
Indexed
SCIE; SCOPUS WOS scopus
Document Type
Article
Abstract
With the increase in soybean trade between countries, the intentional mislabeling of the origin of soybeans has become a serious problem worldwide. In this study, metabolic profiling of soybeans from the Republic of Korea and China was performed by nuclear magnetic resonance (NMR) spectroscopy coupled with multivariate statistical analysis to predict the geographical origin of soybeans. The optimal orthogonal partial least squares-discriminant analysis (OPLS-DA) model was obtained using total area normalization and unit variance (UV) scaling, without applying the variable influences on projection (VIP) cut-off value, resulting in 96.9% sensitivity, 94.4% specificity, and 95.6% accuracy in the leave-one-out cross validation (LOO-CV) test for discriminating between Korean and Chinese soybeans. Soybeans from the northeastern, middle, and southern regions of China were successfully differentiated by standardized area normalization and UV scaling with a VIP cut-off value of 1.0, resulting in 100% sensitivity, 91.7%-100% specificity, and 94.4%-100% accuracy in a LOO-CV test. The methods employed in this study can be used to obtain essential information for the authentication of soybean samples from diverse geographical locations in future studies.
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DOI
10.3390/foods10020435
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엘텍공과대학 > 식품공학전공 > Journal papers
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