3rd Edition Of Plant Science and Molecular Biology World Conference 2026

Abstract

The growing convergence between nutrigenomics, functional foods, and precision health has positioned plant polyphenols as key bioactive compounds of interest. In this context, this study presents an advanced phenolic profiling of ten apricot (Prunus armeniaca L.) clones using an innovative Thioacidolysis-UFLC approach, enabling high-resolution characterization of complex procyanidin structures. The results reveal significant genotype-dependent variability, with procyanidins and catechins identified as the dominant contributors to antioxidant capacity, reaching high concentrations at both commercial and consumption stages. Importantly, the findings demonstrate that phenolic composition is more strongly influenced by genetic background and fruit color than by ripening, highlighting new opportunities for genotype selection and bioactive optimization. Dark-colored clones exhibited superior antioxidant potential, suggesting their relevance for the development of next-generation functional foods.

From a translational perspective, this work aligns with emerging trends in gene-driven crop valorization, where metabolomic profiling supports the identification of health-promoting traits. Given the well-established role of phenolic compounds in mitigating oxidative stress and their potential implication in preventing chronic diseases, these results contribute to bridging plant genetics, analytical chemistry, and preventive nutrition.

Overall, this study provides a novel framework for integrating phenolic fingerprinting into breeding strategies and nutraceutical innovation, supporting the development of personalized and health-oriented food systems.

Keywords: Phenolic profiling; Apricot clones; Antioxidant activity; Functional foods; Nutrigenomics