Linked Life Data

17397659

Source:http://linkedlifedata.com/resource/pubmed/id/17397659

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2007-4-2
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1873-4324
pubmed:author
pubmed:issnType
Electronic
pubmed:day
18
pubmed:volume
589
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
96-104
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Characterization and discrimination of different aged 'Aceto Balsamico Tradizionale di Modena' products by head space mass spectrometry and chemometrics.
pubmed:affiliation
University of Modena and Reggio Emilia, Department of Chemistry, Modena, Italy. cocchi@unimore.it <cocchi@unimore.it>
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't