Regional Characterization Study of Fatty Acids and Tocopherol in Organic Milk as a Tool for Potential Geographical Identification
| Autor: | Yun-Ju Kim, Hee-Sung Moon, Chang Kwon, Hee-Youn Chi, Seung-Hyun Kim, Ill-Min Chung |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
chemistry.chemical_classification
Health (social science) Discriminant model Stepwise discriminant analysis Fatty acid food and beverages Plant Science Biology lcsh:Chemical technology tocopherol discriminant analysis Health Professions (miscellaneous) Microbiology Article Nutrient chemistry lcsh:TP1-1185 organic milk Tocopherol Food science fatty acid geographical identification Organic milk Food Science |
| Zdroj: | Foods Volume 9 Issue 12 Foods, Vol 9, Iss 1743, p 1743 (2020) |
| ISSN: | 2304-8158 |
| DOI: | 10.3390/foods9121743 |
| Popis: | Reliable geographical identification can protect producers of excellent agroproducts, and also provide reliable purchasing information to satisfy consumers. Therefore, this study aimed to evaluate the regional and monthly variation in fatty acid (FA) and tocopherol (TOC) in organic milk (OM) and develop a geographical discriminant model of OM in Korea. In this study, OM had &alpha TOC and showed a regional or monthly difference of 3&ndash 5%. Moreover, C16:0, C18:1 n9 cis + trans, C18:0, and C14:0 were the predominant FAs in OM, and OM mostly had higher &sum UFA, including nutritionally desirable FAs but lower &sum SFA among four regions or in April and August (p < 0.001). The model prepared using stepwise discriminant analysis showed a classification accuracy of 100% for original and cross-validated sample sets. Our results have characterized regional and monthly nutritional variations of OM, thereby potentially suggesting the applicability of a reliable Korean geographical identification labeling system using nutrient compositional analysis of OM. |
| Databáze: | OpenAIRE |
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