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

Modeling excitation–emission fluorescence matrices with pattern recognition algorithms for classification of Argentine white wines according grape variety

2015 ◽  
Vol 184 ◽  
pp. 214-219 ◽  
Author(s):  
Silvana M. Azcarate ◽  
Adriano de Araújo Gomes ◽  
Mirta R. Alcaraz ◽  
Mário C. Ugulino de Araújo ◽  
José M. Camiña ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Grape Variety ◽  
White Wines ◽  
Recognition Algorithms

scholarly journals A proposed procedure for the analysis of large phytosociological data sets in the classification of South African grasslands

Koedoe ◽  
1995 ◽  
Vol 38 (1) ◽  
Author(s):  
G.J. Bredenkamp ◽  
H. Bezuidenhout
Keyword(s):  
South African ◽  
Plant Communities ◽  
Vegetation Type ◽  
Second Step ◽  
Data Sets ◽  
Vegetation Types ◽  
Related Plant ◽  
Single Cluster ◽  
Synoptic Table

A procedure for the effective classification of large phytosociological data sets, and the combination of many data sets from various parts of the South African grasslands is demonstrated. The procedure suggests a region by region or project by project treatment of the data. The analyses are performed step by step to effectively bring together all releves of similar or related plant communities. The first step involves a separate numerical classification of each subset (region), and subsequent refinement by Braun- Blanquet procedures. The resulting plant communities are summarised in a single synoptic table, by calculating a synoptic value for each species in each community. In the second step all communities in the synoptic table are classified by numerical analysis, to bring related communities from different regions or studies together in a single cluster. After refinement of these clusters by Braun-Blanquet procedures, broad vegetation types are identified. As a third step phytosociological tables are compiled for each iden- tified broad vegetation type, and a comprehensive abstract hierarchy constructed.

scholarly journals Cloud computing activities: Guidelines on the South African income tax classification

2017 ◽  
Vol 9 (1) ◽  
pp. 228-243
Author(s):  
Shené Steenkamp ◽  
Rudie Nel
Keyword(s):  
Cloud Computing ◽  
South African ◽  
Income Tax ◽  
Computer Hardware ◽  
Correct Classification ◽  
The South ◽  
Know How ◽  
Cloud Computing Service ◽  
Source Test

The classification of income from cloud computing activities, according to the substance-over-form doctrine, is fundamental to the application of the correct taxation source test. The designation of IaaS, PaaS and SaaS, the three main cloud computing service models, clearly denotes the form of cloud computing activities as that of a service. However, the nature of cloud computing inherently raises the question of whether or not cloud computing income should not rather be classified as income from leasing activities or the imparting of know-how. In fact, the findings of this study suggest the classification would not necessarily always be that of a service. The possible classification as lease income can be either income from the lease of tangible computer hardware and/or of intellectual property (royalty income). The aim of this study was to formulate guidelines to assist in the correct classification of income from cloud computing activities. This was achieved by performing doctrinal research based on the South African and international literature.

AUTOCHTHONE GEORGIAN GRAPE VARIETY GRDZELMTEVANA IN THE NIZHNEE PRIDONIE CONDITIONS

1970 ◽  
pp. 28-31
Author(s):  
V. А. Ganich ◽  
L. G. Naumova
Keyword(s):  
Titratable Acidity ◽  
The State ◽  
Grape Variety ◽  
Point Scale ◽  
High Quality ◽  
White Wines ◽  
Classical Study ◽  
State Register ◽  
Technological Potential ◽  
Consumer Tastes

The purpose of the research is to study the autochthonous Georgian grape variety Grdzelmtevana in the Pridonie region to identify the adaptive, economic and technological potential in comparison with the control Riesling Rhine variety. The studies were carried out at the Donskaya ampelography collection YA.I. Potapenko (Novocherkassk, Russia) in 2016–2020 Agrobiological using modern and classical study methods. The wines were prepared according to the classic technology of winemaking for dry white wines. On the basis of the conducted studies it was concluded that the Grdzelmtevana grape variety adapted well in the Pridonie region, has high rates of buds break and an average bunch weight. It surpasses the control grape variety in terms of productivity by twice as much and at the wherein has a higher  accumulation sugar of grapes berries and optimal titratable acidity of berry juice for obtaining high quality table dry white wines. Degustation evaluation oа wine is 8,6 points ( for 10 point scale). Therefore, the Grdzelmtevana grape variety introduction into the State Register of Grapes for the Pridonie region will diversify the assortment of wine products, satisfying different consumer tastes.

scholarly journals Metabolomics-based authentication of wines according to grape variety

2019 ◽  
Vol 37 (No. 4) ◽  
pp. 239-245 ◽  
Author(s):  
Leos Uttl ◽  
Kamila Hurkova ◽  
Vladimir Kocourek ◽  
Jana Pulkrabova ◽  
Monika Tomaniova ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Statistical Models ◽  
High Performance ◽  
Geographical Origin ◽  
Principal Component ◽  
White Wine ◽  
Tandem Mass ◽  
Grape Variety ◽  
Varietal Identification

In 2008, the European Commission highlighted the risk of wine mislabelling regarding the geographical origin and varietal identification. While analytical methods for the identification of wine by geographical origin exist, a reliable strategy for authentication of wine variety is still missing. Here, we investigate the suitability of the metabolomic fingerprinting of ethyl acetate wine extracts, using ultra-high-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. In total, 43 white wine samples (three varieties) were analysed within our study. The generated data were processed by principal component analysis and then by partial least squares discriminant analysis. The resulting statistical models were validated and assessed according to their R2 (cum) and Q2 (cum) parameters. The most promising models were based on positive ionisation data, enabling successful classification of 92% of wine samples.

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