Metabolite profiling of "green" extracts of Corylus avellana leaves by 1H NMR spectroscopy and multivariate statistical analysis
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články
PubMed
30096647
DOI
10.1016/j.jpba.2018.07.046
PII: S0731-7085(18)31194-4
Knihovny.cz E-zdroje
- Klíčová slova
- Corylus avellana leaves, Multivariate Data Analysis, NMR metabolomics, antioxidant activity, “Nocciola di Giffoni”, “green” extracts,
- MeSH
- fenoly analýza farmakologie MeSH
- lidé MeSH
- líska chemie metabolismus MeSH
- listy rostlin chemie MeSH
- metabolomika metody MeSH
- nukleární magnetická rezonance biomolekulární metody MeSH
- protonová magnetická rezonanční spektroskopie metody MeSH
- pyokyanin farmakologie MeSH
- reaktivní formy kyslíku metabolismus MeSH
- rostlinné extrakty analýza chemie farmakologie MeSH
- scavengery volných radikálů analýza farmakologie MeSH
- technologie zelené chemie metody MeSH
- THP-1 buňky MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- fenoly MeSH
- pyokyanin MeSH
- reaktivní formy kyslíku MeSH
- rostlinné extrakty MeSH
- scavengery volných radikálů MeSH
Corylus avellana L. (Betulaceae) leaves, consumed as infusion, are used in traditional medicine, for the treatment of hemorrhoids, varicose veins, phlebitis, and edema due to their astringent, vasoprotective, and antiedema properties. In previous works we reported from the leaves of Corylus avellana cv. "Tonda di Giffoni" diarylheptanoid derivatives, a class of plant secondary metabolites with a wide variety of bioactivities. With the aim to give an interesting and economically feasible opportunity to C. avellana leaves as source of functional ingredients for pharmaceutical and cosmetic formulations, "green" extracts were prepared by employing "eco-friendly" extraction protocols as maceration, infusion and SLDE-Naviglio extraction. Metabolite profiles of the extracts were obtained by 1H NMR experiments and data were processed by multivariate statistical analysis to highlight differences in the extracts and to evidence the extracts with the highest concentrations of bioactive metabolites. Based on the NMR data, a total of 31 compounds were identified. The metabolite variation among the extracts was evaluated using Principle Component Analysis (PCA) and Partial Least Squares-Discriminant Analysis (PLS-DA). Furthermore, the total phenolic content of the extracts was measured by Folin-Ciocalteu colorimetric assay and the antioxidant activity of extracts was assayed by the spectrophotometric tests DPPH• and ABTS and by an in vitro test based on the evaluation of cellular reactive oxygen species production stimulated by pyocyanin.
Citace poskytuje Crossref.org