| Naslov: | Characterization of Slovenian wines using multidimensional data analysis from simple enological descriptors |
|---|
| Avtorji: | ID Bednárová, Adriána (Avtor)
ID Kranvogl, Roman (Avtor)
ID Brodnjak-Vončina, Darinka (Avtor)
ID Jug, Tjaša (Avtor)
ID Beinrohr, Ernest (Avtor) |
|---|
| Datoteke: |  Acta_Chimica_Slovenica_2013_Bednarova_et_al._Characterization_of_Slovenian_Wines_Using_Multidimensional_Data_Analysis_from_Simple_Enolog.pdf (261,13 KB)
MD5: 72339A769183E5D65F4F3849246911C7
 http://acta-arhiv.chem-soc.si/60/60-2-274.pdf
|
|---|
| Jezik: | Angleški jezik |
|---|
| Vrsta gradiva: | Znanstveno delo |
|---|
| Tipologija: | 1.01 - Izvirni znanstveni članek |
|---|
| Organizacija: | FKKT - Fakulteta za kemijo in kemijsko tehnologijo
|
|---|
| Opis: | Determination of the product's origin is one of the primary requirements when certifying a wine's authenticity. Significant research has described the possibilities of predicting a wine's origin using efficient methods of wine components' analyses connected with multivariate data analysis. The main goal of this study was to examine the discrimination ability of simple enological descriptors for the classification of Slovenian red and white wine samples according to their varieties and geographical origins. Another task was to investigate the inter-relations available among descriptors such as relative density, content of total acids, non-volatile acids and volatile acids, ash, reducing sugars, sugar-free extract, $SO_2$, ethanol, pH, and an important additional variable - the sensorial quality of the wine, using correlation analysis, principal component analysis (PCA), and cluster analysis (CLU). 739 red and white wine samples were scanned on a Wine Scan FT 120, from wave numbers 926 $cm^{–1}$ to 5012 $cm^{–1}$. The applied methods of linear discriminant analysis (LDA), general discriminant analysis (GDA), and artificial neural networks (ANN), demonstrated their power for authentication purposes. |
|---|
| Ključne besede: | wine authentication, enological descriptors, classification techniques, ANN |
|---|
| Status publikacije: | Objavljeno |
|---|
| Verzija publikacije: | Objavljena publikacija |
|---|
| Leto izida: | 2013 |
|---|
| Št. strani: | str. 274-286 |
|---|
| Številčenje: | Letn. 60, št. 2 |
|---|
| PID: | 20.500.12556/DKUM-50427  |
|---|
| ISSN: | 1318-0207 |
|---|
| UDK: | 543.21:663.2 |
|---|
| COBISS.SI-ID: | 16958998 |
|---|
| ISSN pri članku: | 1318-0207 |
|---|
| NUK URN: | URN:SI:UM:DK:4IXM41K7 |
|---|
| Datum objave v DKUM: | 10.07.2015 |
|---|
| Število ogledov: | 3215 |
|---|
| Število prenosov: | 96 |
|---|
| Metapodatki: |    |
|---|
| Področja: | Ostalo
|
|---|
|
:
|
Kopiraj citat |
|---|
| | | | Skupna ocena: | (0 glasov) |
|---|
| Vaša ocena: | Ocenjevanje je dovoljeno samo prijavljenim uporabnikom. |
|---|
| Objavi na: |  |
|---|
Postavite miškin kazalec na naslov za izpis povzetka. Klik na naslov izpiše
podrobnosti ali sproži prenos. |
