Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis
| Autor: | Seung-Hyun Kim, Yong-Ik Jin, Ji-Hee Lee, Kyoung-Jin Lee, Na-Young Son, Jae Kwang Kim, Ill-Min Chung, Sung-Kyu Park |
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| Rok vydání: | 2017 |
| Předmět: |
Multivariate analysis
Asia Oryza 01 natural sciences Analytical Chemistry Crop 0404 agricultural biotechnology Asian country Oryza sativa biology business.industry 010401 analytical chemistry food and beverages 04 agricultural and veterinary sciences General Medicine biology.organism_classification Food safety 040401 food science Authentication (law) 0104 chemical sciences Biotechnology Principal component analysis Multivariate Analysis business Food Science |
| Zdroj: | Food chemistry. 240 |
| ISSN: | 1873-7072 |
| Popis: | Rice (Oryza sativa L.) is the world's third largest food crop after wheat and corn. Geographic authentication of rice has recently emerged asan important issue for enhancing human health via food safety and quality assurance. Here, we aimed to discriminate rice of six Asian countries through geographic authentication using combinations of elemental/isotopic composition analysis and chemometric techniques. Principal components analysis could distinguish samples cultivated from most countries, except for those cultivated in the Philippines and Japan. Furthermore, orthogonal projection to latent structure-discriminant analysis provided clear discrimination between rice cultivated in Korea and other countries. The major common variables responsible for differentiation in these models were δ34S, Mn, and Mg. Our findings contribute to understanding the variations of elemental and isotopic compositions in rice depending on geographic origins, and offer valuable insight into the control of fraudulent labeling regarding the geographic origins of rice traded among Asian countries. |
| Databáze: | OpenAIRE |
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