کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1191461 963564 2006 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Ultraviolet–visible spectroscopy and pattern recognition methods for differentiation and classification of wines
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
Ultraviolet–visible spectroscopy and pattern recognition methods for differentiation and classification of wines
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 97, Issue 1, July 2006, Pages 166–175
نویسندگان
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