Non-targeted H-1 NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• Non-targeted H-1 NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries (Articolo in rivista) (literal)

Anno

• 2013-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.foodchem.2013.05.135 (literal)

Alternative label

• Longobardi, F.; Ventrella, A.; Bianco, A.; Catucci, L.; Cafagna, I.; Gallo, V.; Mastrorilli, P.; Agostiano, A. (2013)
  Non-targeted H-1 NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries
  in Food chemistry
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Longobardi, F.; Ventrella, A.; Bianco, A.; Catucci, L.; Cafagna, I.; Gallo, V.; Mastrorilli, P.; Agostiano, A. (literal)

Pagina inizio

• 3028 (literal)

Pagina fine

• 3033 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 141 (literal)

Rivista

• Food chemistry (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 6 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 3 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Univ Bari Aldo Moro; IPCF CNR; Politecn Bari; Consiglio Nazionale delle Ricerche (CNR) (literal)

Titolo

• Non-targeted H-1 NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries (literal)

Abstract

• In this study, non-targeted H-1 NMR fingerprinting was used in combination with multivariate statistical techniques for the classification of Italian sweet cherries based on their different geographical origins (Emilia Romagna and Puglia). As classification techniques, Soft Independent Modelling of Class Analogy (SIMCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Linear Discriminant Analysis (LDA) were carried out and the results were compared. For LDA, before performing a refined selection of the number/combination of variables, two different strategies for a preliminary reduction of the variable number were tested. The best average recognition and CV prediction abilities (both 100.0%) were obtained for all the LDA models, although PLS-DA also showed remarkable performances (94.6%). All the statistical models were validated by observing the prediction abilities with respect to an external set of cherry samples. The best result (94.9%) was obtained with LDA by performing a best subset selection procedure on a set of 30 principal components previously selected by a stepwise decorrelation. The metabolites that mostly contributed to the classification performances of such LDA model, were found to be malate, glucose, fructose, glutamine and succinate. (C) 2013 Elsevier Ltd. All rights reserved. (literal)

Prodotto di

• Istituto per i processi chimico-fisici (IPCF) (Istituto)
• Materiali nanostrutturati e molecole biologiche per strutture organizzate (MD.P01.022.001) (Modulo)
• Istituto di chimica dei composti organo metallici (ICCOM) (Istituto)

Autore CNR

• ANGELA AGOSTIANO (Unità di personale esterno)
• PIETRO MASTRORILLI (Unità di personale esterno)

Insieme di parole chiave

• Parole chiave di "Non-targeted H-1 NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto per i processi chimico-fisici (IPCF) (Istituto)
• Istituto di chimica dei composti organo metallici (ICCOM) (Istituto)
• Materiali nanostrutturati e molecole biologiche per strutture organizzate (MD.P01.022.001) (Modulo)

Autore CNR di

• ANGELA AGOSTIANO (Unità di personale esterno)
• PIETRO MASTRORILLI (Unità di personale esterno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Food chemistry (Rivista)

Insieme di parole chiave di

• Parole chiave di "Non-targeted H-1 NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries" (Insieme di parole chiave)