Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis.

Abstract:

: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.

journal_name

Food Chem

journal_title

Food chemistry

authors

Chung IM,Kim JK,Lee KJ,Park SK,Lee JH,Son NY,Jin YI,Kim SH

doi

10.1016/j.foodchem.2017.08.023

subject

Has Abstract

pub_date

2018-02-01 00:00:00

pages

840-849

eissn

0308-8146

issn

1873-7072

pii

S0308-8146(17)31341-9

journal_volume

240

pub_type

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