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Compound-specific δ13C and δ15N analyses of fatty acids and amino acids for discrimination of organic, pesticide-free, and conventional rice (Oryza sativa L.)

Author:
Chung, Ill-Min, Kim, Jae-Kwang, An, Yeon-Ju, Kwon, Chang, Kim, So-Yeon, Yang, Yu-Jin, Yarnes, Christopher T., Chi, Hee-Youn, Kim, Seung-Hyun
Source:
Food chemistry 2019 v.283 pp. 305-314
ISSN:
0308-8146
Subject:
Oryza sativa, amino acids, carbon, fatty acids, models, nitrogen, organic foods, rice, stable isotopes
Abstract:
Herein, we improve the procedure for organic rice authentication using compound-specific δ13C and δ15N analyses of fatty acids and amino acids, addressing the increasing demand for accurate methods to confirm organic authenticity. Organic rice (OR) and pesticide-free rice (PFR) featured higher values of δ15Nbulk than conventional rice (CR), whereas the corresponding differences between OR and PFR were insignificant. Additionally, OR, PFR, and CR could be discriminated based on some δ13Camino-acid and δ15Namino-acid values. δ13Cbulk was correlated with most δ13Cfatty-acid (r ≥ 0.596) values, and δ15Nbulk was strongly correlated with most δ15Namino-acid (r ≥ 0.834) values. The first component in the orthogonal projection to latent structure-discriminant analysis model allowed for a clear separation between OR and PFR, and good predictability (Q2Y = 0.506). Thus, the present study improves the reliability of organic authentication when bulk stable isotope ratio analysis alone is insufficient for the accurate discrimination of OR, PFR, and CR.
Agid:
6285071