Linked Life Data

19446065

Source:http://linkedlifedata.com/resource/pubmed/id/19446065

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2009-5-18
pubmed:abstractText
Nine different types of Italian red wines of four different varieties were analysed, without any sample pre-treatments, by voltammetric techniques using a poly(3,4-ethylenedioxythiophene)-modified electrode. The data matrices consisting of the currents measured at different potentials, by repeated Cyclic Voltammetry or Differential Pulse Voltammetry, are submitted to chemometric analysis. After explorative tests based on Principal Component Analysis, Partial Least Squares-Discriminant Analysis classification models are built both for the training and for the test sets. To this aim, different classification strategies are adopted, considering the responses from the two techniques either separately or joined together to form a data matrix including the whole voltammetric information.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1873-4324
pubmed:author
pubmed:issnType
Electronic
pubmed:day
8
pubmed:volume
643
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
67-73
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Classification of red wines by chemometric analysis of voltammetric signals from PEDOT-modified electrodes.
pubmed:affiliation
Dipartimento di Chimica, Università di Modena e Reggio Emilia, via G. Campi, 183, 41100 Modena, Italy.
pubmed:publicationType
Journal Article