EnglishNowadays the necessity to reveal the hidden information from complex data sets is increasing due to the development of high-throughput instrumentation. The possibility to jointly analyze data sets arising from different sources (e.g. different analytical determinations/platforms) allows capturing the latent information that would not be extracted by the individual analysis of each block of data. Several approaches are proposed in the literature and are generally referred to as data fusion approaches. In this work a mid level data fusion is proposed for the characterization of three varieties (Salamino di Santa Croce, Grasparossa di Castelvetro, Sorbara) of Lambrusco wine, a typical PDO wine of the district of Modena (Italy). Wine samples of the three different varieties were analyzed by means of 1H-NMR spectroscopy, Emission-Excitation Fluorescence Spectroscopy and HPLC-DAD of the phenolic compounds. Since the analytical outputs are characterized by different dimensionalities (matrix and tensor), several multivariate analyses were applied (PCA, PARAFAC, MCR-ALS) in order to extract and merge, in a hierarchical way, the information present in each data set. The results showed that this approach was able to well characterize Lambrusco samples giving also the possibility to understand the correlation between the sources of information arising from the three analytical techniques.
A mid level data fusion strategy for the Varietal Classification of Lambrusco PDO wines / Silvestri, Michele; Elia, Andrea; Bertelli, Davide; Salvatore, Elisa; Durante, Caterina; Li Vigni, Mario; Marchetti, Andrea; Cocchi, Marina. - In: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. - ISSN 0169-7439. - STAMPA. - 137(2014), pp. 181-189. [10.1016/j.chemolab.2014.06.012]
| Data di pubblicazione: | 2014 | |
| Titolo: | A mid level data fusion strategy for the Varietal Classification of Lambrusco PDO wines | |
| Autore/i: | Silvestri, Michele; Elia, Andrea; Bertelli, Davide; Salvatore, Elisa; Durante, Caterina; Li Vigni, Mario; Marchetti, Andrea; Cocchi, Marina | |
| Autore/i UNIMORE: | ||
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.chemolab.2014.06.012 | |
| Rivista: | ||
| Volume: | 137 | |
| Pagina iniziale: | 181 | |
| Pagina finale: | 189 | |
| Codice identificativo ISI: | WOS:000341470500020 | |
| Codice identificativo Scopus: | 2-s2.0-84954197666 | |
| Citazione: | A mid level data fusion strategy for the Varietal Classification of Lambrusco PDO wines / Silvestri, Michele; Elia, Andrea; Bertelli, Davide; Salvatore, Elisa; Durante, Caterina; Li Vigni, Mario; Marchetti, Andrea; Cocchi, Marina. - In: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS. - ISSN 0169-7439. - STAMPA. - 137(2014), pp. 181-189. [10.1016/j.chemolab.2014.06.012] | |
| Tipologia | Articolo su rivista |
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| MIDLevCHEMOLAB_preprint.pdf | A mid level data fusion strategy for the Varietal Classification of Lambrusco PDO wines | Post-print dell'autore (bozza post referaggio) | Open Access Visualizza/Apri |
| MIDlevChemolab2014.pdf | A mid level data fusion strategy for the Varietal Classification of Lambrusco PDO wines | Versione dell'editore (versione pubblicata) | Administrator Richiedi una copia |
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