Ill-Min Chunga,†, Jae-Kwang Kimb,†, Kyoung-Jin Leea, Sung-Kyu Parka, Ji-Hee Leea, Na-Young Sona, Yong-Ik Jinc, and Seung-Hyun Kima*
aDepartment of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul 05029, Republic of Korea
bDivision of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
cHighland Agriculture Research Center, National Institute of Crop Science, RDA, Pyeongchang 25342, Republic of Korea
† These two authors equally contributed to this study.
* To whom correspondence should be addressed:
Rice (Oryza sativa L.) is the world’s third largest food crop after wheat and corn. Geographic authentication of rice has recently emerged as an 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.
Keywords : Rice, Geographic origin, Stable isotope ratios, Multielements, Multivariate analysis