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Metabolite profiling of licorice (Glycyrrhiza glabra) from different locations using comprehensive two-dimensional liquid chromatography coupled to diode array and tandem mass spectrometry detection.

Academic Article
Publication Date:
2016
Short description:
Metabolite profiling of licorice (Glycyrrhiza glabra) from different locations using comprehensive two-dimensional liquid chromatography coupled to diode array and tandem mass spectrometry detection / Montero, L., Ibáñez, E., Russo, M., di Sanzo, R., Rastrelli, L., Piccinelli, Al., Celano, R., Cifuentes, A., Herrero, M.. - In: ANALYTICA CHIMICA ACTA. - ISSN 0003-2670. - 24:913(2016), pp. 145-159. [10.1016/j.aca.2016.01.040]
abstract:
Profiling of the main metabolites from several licorice (Glycyrrhiza glabra) samples collected at different locations is carried out in this work by using comprehensive two-dimensional liquid chromatography (LC × LC) coupled to diode array (DAD) and mass spectrometry (MS) detectors. The optimized method was based on the application of a HILIC-based separation in the first dimension combined with fast RP-based second dimension separation. This set-up was shown to possess powerful separation capabilities allowing separating as much as 89 different metabolites in a single sample. Identification and grouping of metabolites according to their chemical class were achieved using the DAD, MS and MS/MS data. Triterpene saponins were the most abundant metabolites followed by glycosylated flavanones and chalcones, whereas glycyrrhizic acid, as expected, was confirmed as the main component in all the studied samples. LC × LC-DAD-MS/MS was able to resolve these complex licorice samples providing with specific metabolite profiles to the different licorice samples depending on their geographical origin. Namely, from 19 to 50 specific compounds were exclusively determined in the 2D-chromatograms from the different licorice samples depending on their geographical origin, which can be used as a typical pattern that could potentially be related to their geographical location and authentication.
Iris type:
1.1 Articolo in rivista
List of contributors:
Montero, L.; Ibáñez, E.; Russo, Mariateresa; di Sanzo, R.; Rastrelli, L.; Piccinelli, Al.; Celano, R.; Cifuentes, A.; Herrero, M.
Authors of the University:
RUSSO Mariateresa
Handle:
https://iris.unirc.it/handle/20.500.12318/6682
Full Text:
https://iris.unirc.it//retrieve/handle/20.500.12318/6682/173136/Montero_2016_%20ACA_Metabolite_postprint.pdf
Published in:
ANALYTICA CHIMICA ACTA
Journal
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URL

https://www.sciencedirect.com/science/article/abs/pii/S0003267016301283?via=ihub
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