scholarly journals Closed tank pneumatic press application to improve Sauvignon Blanc wine quality and nutraceutical properties

2019 ◽  
Vol 50 (4) ◽  
pp. 159-165
Author(s):  
Pietro Catania ◽  
Filippa Bono ◽  
Claudio De Pasquale ◽  
Mariangela Vallone
Keyword(s):  
Chemical Composition ◽  
Principal Component ◽  
Inert Atmosphere ◽  
Wine Quality ◽  
Sauvignon Blanc ◽  
Operating Modes ◽  
Favourable Environment ◽  
New Research ◽  
Nutraceutical Properties

The machines used in the winemaking process directly affect the quality of wine and its nutraceutical properties. Grapes’ pressing is a very important step in winemaking as it may promote the presence and/or absence of enzymatic processes on the must, leading to the creation of different products in terms of chemical composition, starting from the same grapes. The aim of the study was to compare two different pressing systems of Sauvignon Blanc grapes using an innovative pneumatic discontinuous closed tank press in two operating modes: the traditional pressing mode in presence of oxygen and the inert pressing mode, performed through grapes pressing under inert gas with nitrogen recovery. Chemical composition of musts and wines was analysed. Pressing under inert atmosphere caused an increase in total polyphenols; total acidity values in musts raised up denoting a very favourable environment for the development of the aromatic component of the future wine. The absorbance measured at 420 nm, an index of total browning reaction of foods, was significantly lower in the wine coming from inert pressing. Principal component analysis application allowed extracting composite quality indicators of must for evaluating the effectiveness of the inert pressing procedure. Results are encouraging and open up new research prospective with the aim of applying innovative techniques to improve the quality of the final product.

A E-Business Case of Study

2017 ◽  
Vol 8 (3) ◽  
pp. 1-20
Author(s):  
Maria Vargas-Vera ◽  
Camilo Salles ◽  
Joaquin Parot ◽  
Sebastian Letelier
Keyword(s):  
Chemical Composition ◽  
Red Wine ◽  
Business Case ◽  
Order Logic ◽  
Wine Industry ◽  
First Order Logic ◽  
Qualitative Properties ◽  
Wine Quality ◽  
First Order

The main purpose of this research was to find relations between the chemical composition of the wines and the wine testers' opinions on the wine quality. We used in our study a dataset which contains examples of red wine from Vinho Verde, Portugal. Firstly, we did an analysis on the attributes of the examples, in the dataset, to find correlations between quantitative and qualitative properties in wines. Secondly, we performed clustering using the algorithms k-means and x-means. Additionally, we used the J48 algorithm for getting a decision tree and then to extract first order logic rules. We concluded that, there is a relation between physicochemical properties and quality of wines. This result opens the possibility of further analysis and perhaps this could lead to use fewer wine testers and therefore, our research could bring benefit to the wine industry.

Evaluation of must composition and wine quality of six clones of Vitis vinifera cv. Sauvignon Blanc

1993 ◽  
Vol 33 (7) ◽  
pp. 945 ◽  
Author(s):  
AJW Ewart ◽  
R Gawel ◽  
SP Thistlewood ◽  
MG McCarthy
Keyword(s):  
Vitis Vinifera ◽  
South Australia ◽  
Soluble Solids ◽  
Maturity Level ◽  
Wine Quality ◽  
Sauvignon Blanc ◽  
Total Soluble Solids

The evaluation of 6 clonal selections of Sauvignon blanc grapes grown at McLaren Vale in South Australia identified 2 significantly (P<0.05) higher yielding clones, F4V6 and F14V9. F4V6 and F14V9 had significantly lower total soluble solids TTS) in the years where all clones were harvested together. In 1 year, F4V6 and F14V9 were harvested 9 days later than the remaining clones. Their TSS values were not significantly different, The titratable acidities of F4V6 and F14V9 were lower due to lower tartrate and malate levels. The pH of F4V6 was higher than that of any other clone at a similar maturity level. (Clones F4V6 and F14V9 had greater yields per vine in all 3 years.

Nebulized water cooling of the canopy affects leaf temperature, berry composition and wine quality of Sauvignon blanc

2016 ◽  
Vol 97 (4) ◽  
pp. 1267-1275 ◽  
Author(s):  
Pericle Paciello ◽  
Fabio Mencarelli ◽  
Alberto Palliotti ◽  
Brunella Ceccantoni ◽  
Cécile Thibon ◽  
...  
Keyword(s):  
Leaf Temperature ◽  
Water Cooling ◽  
Wine Quality ◽  
Sauvignon Blanc ◽  
Berry Composition

scholarly journals Evaluation of the Quality of Chinese and Vietnamese Cassia Using LC-MS and Multivariate Analysis

2013 ◽  
Vol 8 (1) ◽  
pp. 1934578X1300800
Author(s):  
Ken Tanaka ◽  
Feng Li ◽  
Yasuhiro Tezuka ◽  
Shiro Watanabe ◽  
Nobuo Kawahara ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Multivariate Analysis ◽  
Chemical Composition ◽  
Herbal Medicine ◽  
Principal Component ◽  
The Other ◽  
Chemical Composition Of Water ◽  
Different Types ◽  
Marker Compounds

In the present study, the chemical composition of water extracts of Chinese and Vietnamese cassia (Cinnamomum cassia) were compared using multivariate analysis of LC-MS data. By principal component analysis of the LC-MS data, 6 compounds, cinnzeylanine (1), cinnzeylanol (2), anhydrocinnzeylanol (3), cinncasinol A (4), epicatechin (5) and procyanidin B2 (6), were identified as the marker compounds to characterize Chinese and Vietnamese cassia. It was clarified that Chinese cassia contains relatively larger amounts of epicatechin and procyanidin B2. On the other hand, Vietnamese cassia is characterized by a relatively larger amount of diterpenes. As catechin derivatives and diterpenes have different types of activity, it is important to choose the cassia that best suits the product for which it is to be used, whether in food or in herbal medicine.

scholarly journals A Multi-Methodological Protocol to Characterize PDO Olive Oils

Metabolites ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. 43 ◽  
Author(s):  
Simone Circi ◽  
Cinzia Ingallina ◽  
Silvia Vista ◽  
Donatella Capitani ◽  
Andrea Di Vecchia ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Olive Oil ◽  
Geographical Area ◽  
Principal Component ◽  
Isotope Ratio Mass Spectrometry ◽  
Isotopic Data ◽  
Olive Oils ◽  
Nmr Data ◽  
Panel Test

An analytical approach including Panel Test, Isotope Ratio Mass Spectrometry (IRMS) and Nuclear Magnetic Resonance (NMR) spectroscopy was proposed to characterize Italian “Colline Pontine” PDO olive oils (40 samples) of two consecutive crop years. Our approach has evidenced the high quality of these olive oils. Only 6 of 40 olive oils samples were defined as “defective” by the official Panel Test due to the detection of negative sensory attributes. The low variability of isotopic data monitored by IRMS confirmed that the olive oil samples all came from a limited geographical area. NMR spectra did not evidence any chemical composition anomaly in the investigated samples. In order to assess the influence of harvesting year over the olive oil chemical composition, the NMR analysis was extended to other 22 olive oil samples of a third harvesting year. NMR data were submitted to two different statistical methods, namely, analysis of variance (ANOVA) and principal component analysis (PCA) allowing olive oils of three consecutive harvesting years to be grouped.

scholarly journals Multivariate Methods Based Soft Measurement for Wine Quality Evaluation

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Shen Yin ◽  
Lei Liu ◽  
Xin Gao ◽  
Hamid Reza Karimi
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Principal Component ◽  
Ordinary Least Squares ◽  
Multivariate Methods ◽  
Least Squares Regression ◽  
Wine Quality ◽  
Soft Measurement

Soft measurement is a new, developing, and promising industry technology and has been widely used in the industry nowadays. This technology plays a significant role especially in the case where some key variables are difficult to be measured by traditional measurement methods. In this paper, the quality of the wine is evaluated given the wine physicochemical indexes according to multivariate methods based soft measurement. The multivariate methods used in this paper include ordinary least squares regression (OLSR), principal component regression (PCR), partial least squares regression (PLSR), and modified partial least squares regression (MPLSR). By comparing the performance of the four methods, the MPLSR prediction model shows superior results than the others. In general, to determine the quality of the wine, experienced wine tasters are hired to taste the wine and make a decision. However, since the physicochemical indexes of wine can to some extent reflect the quality of wine, the multivariate statistical methods based soft measure can help the oenologist in wine evaluation.

scholarly journals Influence of curettage on Esca-diseased Vitis vinifera L. cv. Sauvignon blanc plants on the quality of musts and wines

OENO One ◽  
2021 ◽  
Vol 55 (1) ◽  
pp. 171-182
Author(s):  
Émilie Bruez ◽  
Céline Cholet ◽  
Cécile Thibon ◽  
Pascaline Redon ◽  
Soizic Lacampagne ◽  
...  
Keyword(s):  
Alcoholic Fermentation ◽  
White Wine ◽  
Chemical Analyses ◽  
Wine Quality ◽  
Sauvignon Blanc ◽  
Foliar Symptoms ◽  
Sensory Analyses ◽  
One Year ◽  
The One

Aim: A study on Sauvignon blanc (SB) cultivar in France showed that curettage had an effect on the resilience of GTD grapevines. No experiments, however, have been conducted on its effects on wine quality, particularly on white Sauvignon blanc cultivar wines.Methods and results: Grapevines from Sauvignon blanc cultivar that had expressed Esca-foliar symptoms were used for the study, with some of them having been curetted in 2014. Subsequently, bunches from Control (asymptomatic), Curetted and Esca-symptomatic vines were harvested in 2017 and 2018 in order to produce white wine. Technical and chemical results on both must and wine showed that wines from curetted plants were similar to those from asymptomatic vines. There were differences, however, for Esca-diseased vines, where the alcoholic fermentation of musts was faster than for the other modalities. Olfactometry results showed that, for the one-year-old 2017 vintage wines, no differences were detected, although they were for the 2018 vintage.Conclusion: The results of the chemical analyses and wine tasting showed that the wines from curetted and asymptomatic grapevines were similar, and that their quality was the same.Significance of the study: The quality of wines from curetted vines compared to asymptomatic ones was confirmed and validated through chemical and sensory analyses of the must and the one-year-old wines.

scholarly journals The influence of water management and environmental conditions on the chemical composition and beverage quality of coffee beans

2005 ◽  
Vol 17 (2) ◽  
pp. 229-238 ◽  
Author(s):  
Emerson A. da Silva ◽  
Paulo Mazzafera ◽  
Orivaldo Brunini ◽  
Emílio Sakai ◽  
Flávio B. Arruda ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Environmental Conditions ◽  
Influencing Factor ◽  
Principal Component ◽  
Green Coffee ◽  
Pronounced Difference ◽  
Coffee Plantations ◽  
Green Coffee Beans ◽  
Coffee Beans

The influence of environmental conditions and irrigation on the chemical composition of green coffee beans and the relationship of these parameters to the quality of the beverage were investigated in coffee plantations in the regions of Adamantina, Mococa and Campinas, in the state of São Paulo, Brazil. The chemical composition and physical aspects of green coffee beans produced in the three regions were related through Principal Component Analyses (PCA) to the quality of beverage, as determined by sensorial and electronic analyses. The chemical composition was affected by the environmental conditions. Some differences in cup quality were detected by the electronic method but not by cup tasting. Irrigation was not a major factor affecting chemical composition, since there were few differences in relation to non-irrigated coffee plants. The production site appeared to be the main influencing factor on biochemical composition. A pronounced difference was observed in Adamantina, where annual average air temperature was 1.6-2.4ºC warmer than in the other two areas and about 3.5ºC above to the optimal limit for coffee cultivation.

Behavior of Some Varieties in the Kernel Group to the Attack of the Main Pathogens

2018 ◽  
Vol 12 (2) ◽  
pp. 1-7
Author(s):  
Sînziana Venera Morărița
Keyword(s):  
Chemical Composition ◽  
Climatic Conditions ◽  
Complex Chemical ◽  
Complex Chemical Composition ◽  
Large Production ◽  
Special Quality

Abstract Although relatively recent, peach culture has grown great in our country due to the special quality of the fruit, its very complex chemical composition and the large production that can be obtained without much effort. Peach is a species slightly adapted to our climatic conditions, suffers from winter frost, but can provide productive and long productions of 10-15 years.

Multivariate micropollutants analysis in marine waters

1995 ◽  
Vol 32 (9-10) ◽  
pp. 341-348
Author(s):  
V. Librando ◽  
G. Magazzù ◽  
A. Puglisi
Keyword(s):  
Multivariate Data Analysis ◽  
Partial Least Squares Regression ◽  
Environmental Chemistry ◽  
Sampling Site ◽  
Principal Component ◽  
Least Squares Regression ◽  
Organic Micropollutants ◽  
Suspended Material ◽  
The Difference

The monitoring of water quality today provides a great quantity of data consisting of the values of the parameters measured as a function of time. In the marine environment, and especially in the suspended material, increasing importance is being given to the presence of organic micropollutants, particularly since some are known to be carcinogenic. As the number of measured parameters increases examining the data and their consequent interpretation becomes more difficult. To overcome such difficulties, numerous chemometric techniques have been introduced in environmental chemistry, such as Multivariate Data Analysis (MVDA), Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR). The use of the first technique in this work has been applied to the interpretation of the quality of Augusta bay, by measuring the concentration of numerous organic micropollutants, together with the classical water pollution parameters, in different sites and at different times. The MVDA has highlighted the difference between various sampling sites whose data were initially thought to be similar. Furthermore, it has allowed a choice of more significant parameters for future monitoring and more suitable sampling site locations.

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