http://www.cnr.it/ontology/cnr/individuo/prodotto/ID169069
Metabolomic fingerprinting of plant extracts (Articolo in rivista)
- Type
- Label
- Metabolomic fingerprinting of plant extracts (Articolo in rivista) (literal)
- Anno
- 2006-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1002/jms.1099 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Mattoli L.; Cangi F.; Maidecchi A.; Ghiara C.; Ragazzi E.; Tubaro M.; Stella L.; Tisato F.; Traldi P. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://onlinelibrary.wiley.com/doi/10.1002/jms.1099/pdf (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- 1-4 :Aboca S.p.A., loc. Aboca, Sansepolcro (AR), Italy /
5 : Department of Pharmacology and Anaesthesiology, University of Padova, Largo Meneghetti 2, Padova, Italy /
6,7,9 : CNR-ISTM, Corso Stati Uniti 4, Padova, Italy /
8 : CNR-ICIS, Corso Stati Uniti 4, Padova, Italy (literal)
- Titolo
- Metabolomic fingerprinting of plant extracts (literal)
- Abstract
- The standardization and quality control of plant extracts is an important topic, in particular, when such
extracts are used for medicinal purposes. Consequently, the development of fast and effective analytical
methods for metabolomic fingerprinting of plant extracts is of high interest. In this investigation,
electrospray mass spectrometry (ESI-MS) and 1H NMR techniques were employed with further statistical
analyses of the acquired data. The results showed that negative ion mode ESI-MS is particularly effective
for characterization of plant extracts. Different samples of the same species appear well-clustered and
separated from the other species. To verify the effectiveness of the method, two other batches of extracts
from a species, in which the principal components were already identified (Cynara scolymus), were
analyzed, and the components that were verified by the principal component analysis (PCA) were found
to be within the region identified as characteristic of Cynara Scolymus extracts. The data from extracts of
the other species were well separated from those pertaining to the species previously characterized. Only
the case of a species that was strictly correlated from a botanical point of view, with extracts that were
previously analyzed, showed overlapping. (literal)
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