Classification of monovarietal Argentinean white wines by their elemental profile

Food Control ◽  
2015 ◽  
Vol 57 ◽  
pp. 268-274 ◽  
Author(s):  
Silvana M. Azcarate ◽  
Luis D. Martinez ◽  
Marianela Savio ◽  
José M. Camiña ◽  
Raúl A. Gil
Keyword(s):  
White Wines ◽  
Elemental Profile

scholarly journals Fuzzy Divisive Hierarchical Associative-Clustering Applied to Different Varieties of White Wines According to Their Multi-Elemental Profiles

Molecules ◽  
2020 ◽  
Vol 25 (21) ◽  
pp. 4955
Author(s):  
Ioana Feher ◽  
Dana Alina Magdas ◽  
Cezara Voica ◽  
Gabriela Cristea ◽  
Costel Sârbu
Keyword(s):  
Chemical Elements ◽  
High Variability ◽  
Chemometric Methods ◽  
White Wines ◽  
Fuzzy Partition ◽  
Meaningful Information ◽  
Elemental Profile ◽  
Icp Ms ◽  
Intermediate Concentration

Wine data are usually characterized by high variability, in terms of compounds and concentration ranges. Chemometric methods can be efficiently used to extract and exploit the meaningful information contained in such data. Therefore, the fuzzy divisive hierarchical associative-clustering (FDHAC) method was efficiently applied in this study, for the classification of several varieties of Romanian white wines, using the elemental profile (concentrations of 30 elements analyzed by ICP-MS). The investigated wines were produced in four different geographical areas of Romania (Transylvania, Moldova, Muntenia and Oltenia). The FDHAC algorithm provided not only a fuzzy partition of the investigated white wines, but also a fuzzy partition of considered characteristics. Furthermore, this method is unique because it allows a 3D bi-plot representation of membership degrees corresponding to wine samples and elements. In this way, it was possible to identify the most specific elements (in terms of highest, smallest or intermediate concentration values) to each fuzzy partition (group) of wine samples. The chemical elements that appeared to be more powerful for the differentiation of the wines produced in different Romanian areas were: K, Rb, P, Ca, B, Na.

Classification of Spanish DO white wines according to their elemental profile by means of support vector machines

2012 ◽  
Vol 135 (3) ◽  
pp. 898-903 ◽  
Author(s):  
José Marcos Jurado ◽  
Ángela Alcázar ◽  
Ana Palacios-Morillo ◽  
Fernando de Pablos
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
White Wines ◽  
Elemental Profile ◽  
Vector Machines

Classification of South African red and white wines according to grape variety based on the non-coloured phenolic content

2005 ◽  
Vol 221 (3-4) ◽  
pp. 520-528 ◽  
Author(s):  
André de Villiers ◽  
Pavel Majek ◽  
Frederic Lynen ◽  
Andrew Crouch ◽  
Henk Lauer ◽  
...  
Keyword(s):  
South African ◽  
Phenolic Content ◽  
Grape Variety ◽  
White Wines

Direct coupling of a gas–liquid separator to an ion mobility spectrometer for the classification of different white wines using chemometrics tools

Talanta ◽  
2011 ◽  
Vol 84 (2) ◽  
pp. 471-479 ◽  
Author(s):  
R. Garrido-Delgado ◽  
L. Arce ◽  
A.V. Guamán ◽  
A. Pardo ◽  
S. Marco ◽  
...  
Keyword(s):  
Ion Mobility ◽  
Direct Coupling ◽  
White Wines ◽  
Ion Mobility Spectrometer ◽  
Liquid Separator

Classification of German White Wines with Certified Brand of Origin by Multielement Quantitation and Pattern Recognition Techniques

2004 ◽  
Vol 52 (10) ◽  
pp. 2962-2974 ◽  
Author(s):  
Maria del Mar Castiñeira ◽  
Ingo Feldmann ◽  
Norbert Jakubowski ◽  
Jan T. Andersson
Keyword(s):  
Pattern Recognition ◽  
White Wines ◽  
Pattern Recognition Techniques

Classification of Slovak white wines using artificial neural networks and discriminant techniques

2009 ◽  
Vol 112 (4) ◽  
pp. 1046-1052 ◽  
Author(s):  
Dasa Kruzlicova ◽  
Jan Mocak ◽  
Branko Balla ◽  
Jan Petka ◽  
Marta Farkova ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
White Wines ◽  
Artificial Neural

Application of Statistical Methods for Classification of Varietal and Regional Origin of White Wines

2018 ◽  
Vol 54 (14) ◽  
pp. 1435-1442 ◽  
Author(s):  
V. O. Titarenko ◽  
A. A. Khalafyan ◽  
Z. A. Temerdashev ◽  
A. A. Kaunova ◽  
E. A. Ivanovets
Keyword(s):  
Statistical Methods ◽  
White Wines ◽  
Regional Origin

Chemometric Characterization and Classification of Five Venetian White Wines

1994 ◽  
Vol 42 (5) ◽  
pp. 1143-1153 ◽  
Author(s):  
Ivo Moret ◽  
Giuseppe Scarponi ◽  
Paolo Cescon
Keyword(s):  
White Wines
Sign in / Sign up

Export Citation Format

Share Document