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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=186525"><dc:title>Routine quality parameters reflect metabolic organization in black chokeberry juice</dc:title><dc:creator>Topalović,	Ana	(Avtor)
	</dc:creator><dc:creator>Knežević,	Mirko	(Avtor)
	</dc:creator><dc:creator>Krošelj,	Saša	(Avtor)
	</dc:creator><dc:creator>Mikulič Petkovšek,	Maja	(Avtor)
	</dc:creator><dc:subject>chokeberry juice</dc:subject><dc:subject>primary metabolites</dc:subject><dc:subject>phenolic profile</dc:subject><dc:subject>routine quality parameters</dc:subject><dc:subject>multivariate data analysis</dc:subject><dc:description>Black chokeberry juice is among the most phenolic-rich berry beverages; however, it remains unclear whether routine physicochemical quality parameters reflect its underlying metabolic organization. This study examined whether simplified quality measurements capture coordinated biochemical patterns in chokeberry juice. A comprehensive metabolite dataset, including primary metabolites (sugars and organic acids) and 46 individual phenolic compounds, was obtained using liquid chromatography-based methods. Routine quality parameters, including pH, total soluble solids (TSS), electrical conductivity, and UV–Vis absorbance at four wavelengths, were determined under standard conditions. The juice had high TSS (23.1 °Brix) and an acidic pH (3.55). Sorbitol, fructose, and glucose were the dominant sugars, while malic acid was the predominant organic acid. Total phenolics reached 9482 mg L−1, including 6801 mg L−1 anthocyanins. Multivariate analysis revealed a structured metabolic pattern characterized by a sugar–acid gradient and a coordinated phenolic axis, with anthocyanins forming a distinct pigment-related component. Stepwise regression indicated that TSS was associated with primary metabolic gradients, whereas pH was associated with structural phenolic organization. Canonical correlation analysis confirmed a shared latent dimension linking routine physicochemical parameters with metabolite-derived factors. These findings suggest that routine quality parameters reflect coordinated metabolic patterns within the investigated dataset and may support simplified quality assessment of phenolic-rich berry juices.</dc:description><dc:date>2026</dc:date><dc:date>2026-09-02 15:24:32</dc:date><dc:type>Članek v reviji</dc:type><dc:identifier>186525</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
