Document Detail

Characterization and discrimination of different aged 'Aceto Balsamico Tradizionale di Modena' products by head space mass spectrometry and chemometrics.
MedLine Citation:
PMID:  17397659     Owner:  NLM     Status:  MEDLINE    
This work can be seen as an attempt to develop an analytical procedure in the context of quality control and authenticity assessment of typical food. To this aim, head-space mass spectrometry (HS-MS) coupled with multivariate data analysis, is proposed as a fast technique for furnishing a clear visualization and a suitable interpretation of the ageing process of 'Aceto Balsamico Tradizionale di Modena' (ABTM) and, for classifying products of different age. Considering the complexity of this food matrix, due to its traditional making procedure, the obtained instrumental data have first been analysed by parallel factor analysis (PARAFAC), an extension of principal component analysis to higher order arrays, in order to visualise the 'natural' grouping of vinegar samples and to inspect producers similarity/dissimilarity. On the basis of the PARAFAC results a reasonable class partition with respect to ageing was accomplished and both linear discriminant analysis (LDA) and soft independent modelling of class analogy (SIMCA) were applied as classification tools. Furthermore, it has been shown that discrimination on age basis can be improved by using feature selection in the wavelet domain through WPTER algorithm.
M Cocchi; C Durante; A Marchetti; C Armanino; M Casale
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-02-22
Journal Detail:
Title:  Analytica chimica acta     Volume:  589     ISSN:  1873-4324     ISO Abbreviation:  Anal. Chim. Acta     Publication Date:  2007 Apr 
Date Detail:
Created Date:  2007-04-02     Completed Date:  2007-05-31     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370534     Medline TA:  Anal Chim Acta     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  96-104     Citation Subset:  IM    
University of Modena and Reggio Emilia, Department of Chemistry, Modena, Italy. <>
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MeSH Terms
Food Analysis / methods*
Mass Spectrometry / methods*

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