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Comparative analysis of Hibiscus sabdariffa (roselle) hot and cold extracts in respect to their potential for alpha-glucosidase inhibition
October 6 Univ, Fac Pharm, Pharmacognosy Dept, Cairo, Egypt..
Leibniz Inst Plant Biochem, Dept Bioorgan Chem, Weinberg 3, D-06120 Halle An Der Saale, Germany..
Leibniz Inst Plant Biochem, Dept Bioorgan Chem, Weinberg 3, D-06120 Halle An Der Saale, Germany..
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Farmakognosi. Menoufia Univ, Fac Sci, Dept Chem, Shibin Al Kawm 32512, Egypt..
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2018 (English)In: Food Chemistry, ISSN 0308-8146, E-ISSN 1873-7072, Vol. 250, p. 236-244Article in journal (Refereed) Published
Abstract [en]

Roselle (Hibiscus sabdariffa) is a functional food with potential health benefits, consumed either as hot or cold beverage. To ensure quality control of its various products, accurate measurement of active metabolites is warranted. Herein, we propose a combination of ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS) and nuclear magnetic resonance (NMR) analytical platforms for the untargeted characterization of metabolites in two roselle cultivars, Aswan and Sudan-1. The analyses revealed 33 metabolites, including sugars, flavonoids, anthocyanins, phenolic and aliphatic organic acids. Their relative contents in cultivars were assessed via principle component analysis (PCA) and orthogonal projection to latent structures analysis (OPLS). Impact of the different extraction methods (decoction, infusion and maceration) was compared by quantitative H-1 NMR spectroscopy, revealing cold maceration to be optimal for preserving anthocyanins, whereas infusion was more suited for recovering organic acids. The metabolite pattern revealed by the different extraction methods was found in good correlation for their ability to inhibit alpha-glucosidase enzyme.

Place, publisher, year, edition, pages
ELSEVIER SCI LTD , 2018. Vol. 250, p. 236-244
Keywords [en]
Hibiscus sabdariffa, Metabolite profiling, alpha-Glucosidase, Multivariate data analysis, NMR, Roselle tea, UHPLC-MS
National Category
Basic Medicine
Identifiers
URN: urn:nbn:se:uu:diva-346645DOI: 10.1016/j.foodchem.2018.01.020ISI: 000424510200031PubMedID: 29412917OAI: oai:DiVA.org:uu-346645DiVA, id: diva2:1191924
Funder
Swedish Research Council, 2016-05908Available from: 2018-03-21 Created: 2018-03-21 Last updated: 2018-03-21Bibliographically approved

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