ArticleFoods (Basel, Switzerland)2021
Discrimination of the Geographical Origin of Soybeans Using NMR-Based Metabolomics.
Article in Foods (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 31 citations in OpenAlex.
- Plant-Based Protein Bioinks with Transglutaminase Crosslinking: 3D Printability and Molecular Insights from NMR and Synchrotron-FTIR.Foods (Basel, Switzerland) · 2026Article
- Influence of Arbuscular Mycorrhizal Fungi on Soybean Growth and Yield: A Metabarcoding Approach.Plants (Basel, Switzerland) · 2026Article
- Determination of Standardized Ileal Amino Acid Digestibilities in Different Soybean Meals for Yellow-Feathered Chickens and Development of Prediction Models.Animals : an open access journal from MDPI · 2025Article
- Mapping the global origins of soybean: a study using ICP-MS and chemometrics.NPJ science of food · 2025Article
- Chemometrics for Discriminating the Geographical Origin of Korean and Imported Wheat Flour.Journal of food science · 2025Article
- Raman and FT-IR Spectroscopy Coupled with Machine Learning for the Discrimination of Different Vegetable Crop Seed Varieties.Plants (Basel, Switzerland) · 2025Article
- Metabolomics integrated with machine learning to discriminate the geographic origin of Rougui Wuyi rock tea.NPJ science of food · 2023Article
- NMR-Based Metabolomic Profiling of Mungbean Infected with Mungbean Yellow Mosaic India Virus.Applied biochemistry and biotechnology · 2022Article
- Differentiation of Geographical Origin of White and Brown Rice Samples Using NMR Spectroscopy Coupled with Machine Learning Techniques.Metabolites · 2022Article
- Differentiation of Apricots of Different Geographic Origin in Central and Southern Europe by ApplyingFoods (Basel, Switzerland) · 2022Article
- Advances in Plant Metabolomics and Its Applications in Stress and Single-Cell Biology.International journal of molecular sciences · 2022Review
- Discriminant Analysis of the Geographical Origin of Asian Red Pepper Powders Using Second-Derivative FT-IR Spectroscopy.Foods (Basel, Switzerland) · 2021Article
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.