Discrimination of Adzuki Bean (Vigna angularis) Geographical Origin by Targeted and Non-Targeted Metabolite Profiling with Gas Chromatography Time-of-Flight Mass Spectrometry
Autor: | Jaehyuk Choi, Jae Kwang Kim, Jeong Gon Park, Tae Jin Kim, Sun-Hwa Ha, Soon Kil Ahn, Hyun Young Kim, Kil Won Kim, Woo Duck Seo |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Non targeted Food trade adzuki bean geographical origin metabolomics multivariate analysis non-targeted metabolite profiling Endocrinology Diabetes and Metabolism lcsh:QR1-502 Biology 01 natural sciences Biochemistry lcsh:Microbiology Vigna 03 medical and health sciences Metabolomics Food science Molecular Biology 010401 analytical chemistry food and beverages biology.organism_classification 0104 chemical sciences 030104 developmental biology Metabolite profiling Gas chromatography Time-of-flight mass spectrometry |
Zdroj: | Metabolites; Volume 10; Issue 3; Pages: 112 Metabolites, Vol 10, Iss 3, p 112 (2020) |
ISSN: | 2218-1989 |
DOI: | 10.3390/metabo10030112 |
Popis: | As international food trade increases, consumers are becoming increasingly interested in food safety and authenticity, which are linked to geographical origin. Adzuki beans (Vigna angularis) are cultivated worldwide, but there are no tools for accurately discriminating their geographical origin. Thus, our study aims to develop a method for discriminating the geographical origin of adzuki beans through targeted and non-targeted metabolite profiling with gas chromatography time-of-flight mass spectrometry combined with multivariate analysis. Orthogonal partial least squares discriminant analysis showed clear discrimination between adzuki beans cultivated in Korea and China. Non-targeted metabolite profiling showed better separation than targeted profiling. Furthermore, citric acid and malic acid were the most notable metabolites for discriminating adzuki beans cultivated in Korea and China. The geographical discrimination method combining non-targeted metabolite profiling and pareto-scaling showed excellent predictability (Q2 = 0.812). Therefore, it is a suitable prediction tool for the discrimination of geographical origin and is expected to be applicable to the geographical authentication of adzuki beans. |
Databáze: | OpenAIRE |
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