Title of article :
Ultraviolet–visible spectroscopy and pattern recognition methods for differentiation and classification of wines
Author/Authors :
Urbano، نويسنده , , Manuel and Luque de Castro، نويسنده , , Marيa D. and Pérez، نويسنده , , Pedro M. and Garcيa-Olmo، نويسنده , , Juan and Gَmez-Nieto، نويسنده , , Miguel A.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Pages :
10
From page :
166
To page :
175
Abstract :
The feasibility of developing a qualitative model based on cheap and simple instrumentation to differentiate and classify wines from the apellation d’origine “La Mancha” (Spain) has been studied. The criteria for discrimination were origin, grape variety and ageing process. Ultraviolet–visible spectroscopy was used for the development of a inexpensive and simple screening approach. Once spectra were collected, a data exploratory analysis was carried out in order to both show trends hidden in the data matrix from the sample spectra and study the characteristics of the models thus developed. Principal components analysis and soft independent modelling of class analogy were used for the exploratory analysis and the development of classification models, respectively. The ultraviolet region has for the first time been used for the discrimination of types of wines. This region is of great importance for differentiation of wines according to both origin within a same apellation d’origine and ageing process. The sum of false positives and false negatives – the criteria used for evaluating errors – were not higher than 25%, and the classification of wines according to the origin zone yielded the best values (10%). Sample preparation was not necessary.
Keywords :
Pattern recognition methods , Ultraviolet–visible spectroscopy , Wine classification
Journal title :
Food Chemistry
Serial Year :
2006
Journal title :
Food Chemistry
Record number :
1952897
Link To Document :
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