Authenticity of rice (Oryza sativa L.) geographical origin based on analysis of C, N, O and S stable isotope ratios: a preliminary case report in Korea, China and Philippine

BACKGROUND Although rice (Oryza sativa L.) is the third largest food crop, relatively fewer studies have been reported on rice geographical origin based on light element isotope ratios in comparison with other foods such as wine, beef, juice, oil and milk. Therefore this study tries to discriminate...

Full description

Saved in:
Bibliographic Details
Published in:Journal of the science of food and agriculture 2016-05, Vol.96 (7), p.2433-2439
Main Authors: Chung, Ill-Min, Kim, Jae-Kwang, Prabakaran, Mayakrishnan, Yang, Jin-Hee, Kim, Seung-Hyun
Format: Article
Language:English
Subjects:
Carbon - chemistry
Carbon Isotopes
Chemometrics
China
Cultivars
Food science
Foods
IRMS
isotope ratio
Isotope ratios
Isotopes
Light elements
Nitrogen - chemistry
Nitrogen Isotopes
Origins
Oryza - chemistry
Oxygen - chemistry
Oxygen Isotopes
Philippines
Republic of Korea
Rice
rice geographical origin
Sulfur - chemistry
Sulfur Isotopes
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:BACKGROUND Although rice (Oryza sativa L.) is the third largest food crop, relatively fewer studies have been reported on rice geographical origin based on light element isotope ratios in comparison with other foods such as wine, beef, juice, oil and milk. Therefore this study tries to discriminate the geographical origin of the same rice cultivars grown in different Asian countries using the analysis of C, N, O and S stable isotope ratios and chemometrics. RESULTS The δ15NAIR, δ18OVSMOW and δ34SVCDT values of brown rice were more markedly influenced by geographical origin than was the δ13CVPDB value. In particular, the combination of δ18OVSMOW and δ34SVCDT more efficiently discriminated rice geographical origin than did the remaining combinations. Principal component analysis (PCA) revealed a clear discrimination between different rice geographical origins but not between rice genotypes. In particular, the first components of PCA discriminated rice cultivated in the Philippines from rice cultivated in China and Korea. CONCLUSION The present findings suggest that analysis of the light element isotope composition combined with chemometrics can be potentially applicable to discriminate rice geographical origin and also may provide a valuable insight into the control of improper or fraudulent labeling regarding the geographical origin of rice worldwide. © 2015 Society of Chemical Industry
ISSN:0022-5142
1097-0010
DOI:10.1002/jsfa.7363