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Metabolite Profiling and Chemometric Study for the Discrimination Analyses of Geographic Origin of Perilla (Perilla frutescens) and Sesame (Sesamum indicum) Seeds.


ABSTRACT: Perilla and sesame are traditional sources of edible oils in Asian and African countries. In addition, perilla and sesame seeds are rich sources of health-promoting compounds, such as fatty acids, tocopherols, phytosterols and policosanols. Thus, developing a method to determine the geographic origin of these seeds is important for ensuring authenticity, safety and traceability and to prevent cheating. We aimed to develop a discriminatory predictive model for determining the geographic origin of perilla and sesame seeds using comprehensive metabolite profiling coupled with chemometrics. The orthogonal partial least squares-discriminant analysis models were well established with good validation values (Q2 = 0.761 to 0.799). Perilla and sesame seed samples used in this study showed a clear separation between Korea and China as geographic origins in our predictive models. We found that glycolic acid could be a potential biomarker for perilla seeds and proline and glycine for sesame seeds. Our findings provide a comprehensive quality assessment of perilla and sesame seeds. We believe that our models can be used for regional authentication of perilla and sesame seeds cultivated in diverse geographic regions.

SUBMITTER: Kim TJ 

PROVIDER: S-EPMC7466206 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Metabolite Profiling and Chemometric Study for the Discrimination Analyses of Geographic Origin of Perilla (<i>Perilla frutescens</i>) and Sesame (<i>Sesamum indicum</i>) Seeds.

Kim Tae Jin TJ   Park Jeong Gon JG   Kim Hyun Young HY   Ha Sun-Hwa SH   Lee Bumkyu B   Park Sang Un SU   Seo Woo Duck WD   Kim Jae Kwang JK  

Foods (Basel, Switzerland) 20200724 8


Perilla and sesame are traditional sources of edible oils in Asian and African countries. In addition, perilla and sesame seeds are rich sources of health-promoting compounds, such as fatty acids, tocopherols, phytosterols and policosanols. Thus, developing a method to determine the geographic origin of these seeds is important for ensuring authenticity, safety and traceability and to prevent cheating. We aimed to develop a discriminatory predictive model for determining the geographic origin of  ...[more]

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