期刊
FOODS
卷 9, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/foods9080989
关键词
perilla; sesame; geographic origin; metabolomics; multivariate analysis; metabolite profiling
资金
- Cooperative Research Program for Agriculture Science & Technology Development - Rural Development Administration (RDA), Republic of Korea [PJ013483042020]
- Research Assistance Program (2019) in the Incheon National University, Republic of Korea
- Rural Development Administration (RDA), Republic of Korea [PJ013483042020] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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 (Q(2)=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.
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