Zobrazeno 1 - 10 of 18 pro vyhledávání: '"Eun-Kyu Jang"'
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Akademický článek
Supervised Statistical Learning Prediction of Soybean Varieties and Cultivation Sites Using Rapid UPLC-MS Separation, Method Validation, and Targeted Metabolomic Analysis of 31 Phenolic Compounds in the Leaves
Autor: Chan-Su Rha, Eun Kyu Jang, Yong Deog Hong, Won Seok Park
Publikováno v: Metabolites, Vol 11, Iss 12, p 884 (2021)
Soybean (Glycine max; SB) leaf (SL) is an abundant non-conventional edible resource that possesses value-adding bioactive compounds. We predicted the attributes of SB based on the metabolomes of an SL using targeted metabolomics. The SB was planted i
Externí odkaz: https://doaj.org/article/c2c3ff2f93a54bed8aada2283cbfae7c
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Statistical discrimination using different machine learning models reveals dissimilar key compounds of soybean leaves in targeted polyphenol-metric metabolomics in terms of traits and cultivation
Autor: Chan-Su Rha, Eun Kyu Jang, Jong Suk Lee, Ji-Sung Kim, Min-Ji Ko, Sol Lim, Gun Hwan Park, Dae-Ok Kim
Publikováno v: Food chemistry. 404
Soybean (SB) leaves (SLs) contain diverse flavonoids with health-promoting properties. To investigate the chemical constituents of SB and their correlations across phenotypes, growing periods, and environmental factors, a validated separation method
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b0da0395620e3354bea73531ba690fc
https://pubmed.ncbi.nlm.nih.gov/36240552
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