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 rice, where δ18O emerged as the pivotal variable based on the feature weights in the SVM model. These findings suggest the potential of multi-isotope and advanced statistical approaches in combating organic fraud and ensuring authenticity in the food supply chain.
ABSTRACT
Interest in colored rice has been increasing due to its health benefits. This study examined the metabolite profiling of CONSTITUTIVELY PHOTOMORPHOGENIC 1 (COP1) mutated rice seed (yel-mutant). The wild-type (WT) and the yel-mutant having yellow (y)- and purple (p)-pericarp variants from Chucheong (cc) and Samkwang (sk) cultivars were investigated for differences in bioactive metabolite profiles and free radical scavenging activity. The total fatty acid content decreased by >50% in the yel-mutant against the WT, while no significant difference was observed between yellow- and purple-pericarp variants (p < 0.05). The yel-mutant of both cultivars showed significantly higher flavone contents than their WT (non-detected). Most of the metabolites examined were highly produced in the yel-cc-p and the yel-sk-y than in the other phenotypic variants studied. This study provides further useful information for colored rice breeding by revealing the detailed biofunctional metabolic profile under COP1 mutation in colored rice.
