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Title:Classification of white varietal wines using chemical analysis and sensorial evaluations
Authors:ID Šnuderl, Katja (Author)
ID Mocak, Jan (Author)
ID Brodnjak-Vončina, Darinka (Author)
ID Sedláčkova, Bibiana (Author)
Files:.pdf Acta_Chimica_Slovenica_2009_Snuderl_et_al._Classification_of_white_varietal_wines_using_chemical_analysis_and_sensorial_evaluations.pdf (209,77 KB)
MD5: 3C7DF87DFBB7AC639CD88C560A6097F0
PID: 20.500.12556/dkum/b89d18b2-dc54-4f83-98e8-e78227bb4e41
 
URL http://acta-arhiv.chem-soc.si/56/56-4-765.pdf
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:FKKT - Faculty of Chemistry and Chemical Engineering
Abstract:The ways of application of multivariate data analysis and ANOVA to classification of white varietal wines are here demonstrated. Wine classification was performed using the following classification criteria: winevariety, year of production, wine producer, and wine quality, as found by sensorial testing (bouquet, colour, and taste). Subjective wine evaluation, made by wine experts, is combined with commonly used chemical and physico-chemical properties, measured in analytical laboratory. Importance of the measured variables was determined by principal component analysis and confirmed by analysis of variance. Linear discriminant analysis enabled not only a very successful wine classification but also prediction of the wine category for unknown samples. The wine categories were set up either by three wine varieties, or two vintages, wine producers; two or three wine categories established by wine quality reflected either total points obtained in sensorial evaluation or the points obtained for a particular quality descriptor like colour, taste and bouquet.
Keywords:multivariate data analysis, principal component analysis, discriminant analysis, feature selection, ANOVA, sensory analysis
Publication status:Published
Publication version:Version of Record
Year of publishing:2009
Number of pages:str. 765-772
Numbering:Letn. 56, št. 4
PID:20.500.12556/DKUM-26535 New window
ISSN:1318-0207
UDC:544.431
ISSN on article:1318-0207
COBISS.SI-ID:13810454 New window
NUK URN:URN:SI:UM:DK:NRNNPVF0
Publication date in DKUM:31.05.2012
Views:2308
Downloads:112
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
ŠNUDERL, Katja, MOCAK, Jan, BRODNJAK-VONČINA, Darinka and SEDLÁČKOVA, Bibiana, 2009, Classification of white varietal wines using chemical analysis and sensorial evaluations. Acta Chimica Slovenica [online]. 2009. Vol. 56, no. 4, p. 765–772. [Accessed 17 April 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=26535
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Record is a part of a journal

Title:Acta Chimica Slovenica
Shortened title:Acta Chim. Slov.
Publisher:Slovensko kemijsko društvo
ISSN:1318-0207
COBISS.SI-ID:14086149 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:31.05.2012

Secondary language

Language:Slovenian
Abstract:Prikazali smo načine uporabe analize večdimenzionalnih podatkov in ANOVE pri klasifikaciji vin belih vrst. Klasifikacijo smo izvedli z uporabo več klasifikacijskih kriterijev, ki so vrsta vina, letnik, proizvajalec in kakovost vina kot je bila ocenjena s senzoričnim preskušanjem (cvetica, barva in okus). Uporabili smo kombinacijo subjektivnih ocen vzorcev vin s strani enologov in fizikalno kemijskih lastnosti vzorcev vin izmerjenih v analiznem laboratoriju. Vplivnost izmerjenih spremenljivk smo določili z metodo glavnih osi in rezultate potrdili z analizo variance. Z linearno diskriminantno analizo smo vzorce vin uspešno ustrezno uvrstili v razrede, kakor tudi neznane vzorce vin uvrstili v ustrezno kategorijo. Kategorije vina smo določili glede na tri vrste vina, na dva letnika in na dva proizvajalca. Dve ali tri kategorije smo določili glede na kakovost vina, ki je bila odraz skupne ocene senzorične analize vzorcev vin ali ocene vzorcev vin po posameznih deskriptorjih opravljene senzorične analize (barva, okus in cvetica).
Keywords:analiza podatkov, analizne komponentne, diskriminantne analize


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