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Food Chem. 2019 Jun 15;283:305-314. doi: 10.1016/j.foodchem.2018.12.129. Epub 2019 Jan 14.

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 information

1
Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul 05029, Republic of Korea.
2
Division of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Republic of Korea.
3
Stable Isotope Facility, University of California, Davis, 1 Shields Avenue, Davis, CA 95616, USA.
4
Department of Crop Science, College of Sanghuh Life Science, Konkuk University, Seoul 05029, Republic of Korea. Electronic address: kshkim@konkuk.ac.kr.

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.

KEYWORDS:

Chemometric model; Compound-specific isotope analysis; Conventional rice; Organic rice; Pesticide-free rice

PMID:
30722876
DOI:
10.1016/j.foodchem.2018.12.129
[Indexed for MEDLINE]

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