Improved organic and pesticide-free rice (Oryza sativa L.) authentication based on multiple stable isotope ratio analysis and rice milling state.

ABSTRACT: This study looked at the application of multiple bulk stable isotope ratio analysis to accurately authenticate organic rice and counteract organic fraud within the expanding global organic market. Variations of δ¹³C, δ¹⁵N, δ¹⁸O, and δ³⁴S in organic, pesticide-free, and conventional rice were assessed across different milling states (brown, milled, and bran). Individual stable isotope ratio alone such as δ¹⁵N demonstrated limited capacity to correctly differentiate organic, pesticide-free, and conventional rice. A support vector machine model-incorporating δ¹³C, δ¹⁵N, δ¹⁸O, and δ³⁴S in milled rice-yielded overall predictability (95%) in distinguishing organic, pesticide-free, and conventional

SUBMITTER: Chi HY 

PROVIDER: S-EPMC10909666 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature