1. Can stable carbon isotope fingerprints be competent for geographic traceability of rice?
- Author
-
Liu Y, Hu J, Wang G, Yang H, Hong L, Xu J, and Wang H
- Subjects
- Oryza chemistry, Oryza classification, Carbon Isotopes analysis, Starch analysis, Starch chemistry, Fatty Acids analysis, Fatty Acids chemistry
- Abstract
This study aimed to improve the traceability of rice-producing areas to address the increasing demand for accurate methods to confirm food quality and safety. Compound-specific δ
13 C of fatty acids, δ13 C of starch and bulk of rice were measured. PCA, PLS-DA and VIP value analysis of the obtained data were performed to track the source of rice from the six regions. The PLS-DA model established with bulk δ13 C, starch δ13 C, and fatty acid δ13 C, which clearly separated the rice from six regions. The VIP graph showed the value of starch, C18:0 and C18:2 δ13 C values (VIP > 1) were important to distinguish the origin of rice. Also, according to loading plots the contribution of starch δ13 C was the largest. The findings indicate that the introduction of starch δ13 C improves the precision of rice traceability and provides an effective method for identifying rice origin., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Liu Yu has patent pending to Dalian Maritime University., (Copyright © 2024 Elsevier Ltd. All rights reserved.)- Published
- 2024
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