Wine Authenticity Research Articles

Wine tourism destination competitiveness: The case of Georgia

Being a highly competitive tourism destination means contributing to the better standard of living for the local community while having sustainability in focus. This paper aims to discuss the most important factors which make Georgia a competitive wine tourism destination. Georgia is often referred to as the birthplace of wine and has its culture and traditions deeply connected to it. The country has authentic food and wine heritage which is a central point for its renowned hospitality. Ancient wine culture attracts present-day curious visitors. The study overviews the academic literature on the key concepts and analyses the wine tourism industry in Georgia. The research summarizes that the country as a wine tourism destination has great opportunities to be competitive. Its history, traditions, hospitality, nature, and other qualities are inherited resources that can attract high-spending visitors and hence contribute to the well-being of the local community. On the other hand, there are some issues and threats that must be tackled for long-term success. The paper suggests that learning the topic with empirical methods is necessary.

Label design of wines sold online: Effects of perceived authenticity on purchase intentions

This article aims at exploring the relation between customers' perception of the authenticity of wines and their purchase intentions in online retailing. We investigate if perceived pleasure plays a mediating role and whether the relation between perceived authenticity and perceived pleasure is moderated by the color type (heraldic vs. vivid colors), presence or absence of a château (icon), and visual complexity (high vs. low) with respect to label design. For this purpose, we conduct an exploratory study followed by an experiment (n = 215). The results reveal that perceived authenticity has a positive effect on both pleasure and purchase intent. Labels showing heraldic colors and low visual complexity lead to a stronger effect of authenticity on pleasure in comparison to labels with vivid colors and high visual complexity. The presence or absence of a château does not have a significant moderating effect. Therefore, wine marketers selling wines on the Internet are advised to design wine labels which tend to show heraldic colors and low visual complexity to enhance customers’ perception of wine authenticity.

Implementation of techniques and design of equipment for the production of the food liquids

This article discusses the rationale for the implementation of techniques and design of equipment, allowing to assess the quality and authenticity of sparkling wines produced in the Krasnodar region. There is an urgent question about the methods of monitoring and detecting fraud in the production and import of sparkling wines at stable positive tendency to increase volumes of these products. The main drawback of the regulatory documentation is the lack of methods for recognizing the naturalness of products presented to the consumer, which increases the risks of producing products that do not meet the requirements. In this regard, the capabilities of software and hardware systems are shown, which make it possible to assess the quality and authenticity of sparkling and carbonated wines, as well as to study the physicochemical properties of food liquids with a two-phase “liquid-CO2” system. It was established that this set of techniques allows to determine the quality indicators of sparkling and carbonated wines, as well as to analyze the applied technological methods of production and to identify the authenticity of the analyzed object. An analysis of the sparkling properties of wine confirms the influence of the biochemical factor of yeast biomass on the processes of CO2 binding to wine components during champagne and shows a fundamental difference in the cavitation desorption of carbon dioxide from sparkling and carbonated wines.

An Approach of the Madeira Wine Chemistry

Madeira wine is a fortified Portuguese wine, which has a crucial impact on the Madeira Island economy. The particular properties of Madeira wine result from the unique and specific winemaking and ageing processes that promote the occurrence of chemical reactions among acids, sugars, alcohols, and polyphenols, which are important to the extraordinary quality of the wine. These chemical reactions contribute to the appearance of novel compounds and/or the transformation of others, consequently promoting changes in qualitative and quantitative volatile and non-volatile composition. The current review comprises an overview of Madeira wines related to volatile (e.g., terpenes, norisoprenoids, alcohols, esters, fatty acids) and non-volatile composition (e.g., polyphenols, organic acids, amino acids, biogenic amines, and metals). Moreover, types of aroma compounds, the contribution of volatile organic compounds (VOCs) to the overall Madeira wine aroma, the change of their content during the ageing process, as well as the establishment of the potential ageing markers will also be reviewed. The viability of several analytical methods (e.g., gas chromatography-mass spectrometry (GC-MS), two-dimensional gas chromatography and time-of-flight mass spectrometry (GC×GC-ToFMS)) combined with chemometrics tools (e.g., partial least squares regression (PLS-R), partial least squares discriminant analysis (PLS-DA) was investigated to establish potential ageing markers to guarantee the Madeira wine authenticity. Acetals, furanic compounds, and lactones are the chemical families most commonly related with the ageing process.

Advances in Viticulture, Enology and Vitivinicultural Economy: Ciência e Técnica Vitivinícola 2020

Research insights arising from the sciences of Viticulture, Enology and Vitivinicultural Economy are crucial for responding to an everincreasing set of challenges - such as climate change, environmental issues and a global and more competitive market - faced by the players in the vitivinicultural sector. In this context, the scientific journals play a key role in spreading the knowledge acquired worldwide and contributing to the generation of new ideas and new research lines. The Ciência e Técnica Vitivinícola is one of the oldest and few scientific journals specifically devoted to these three branches of science. In 2020, twelve articles from several international research teams were published, covering a wide range of current topics, including: sustainability of viticulture and winemaking; modelling of climate impact on wine production; control of pests and diseases; management and adaptability of grapevine varieties; quality and differentiation of wine based on minority grapevine varieties, native yeasts from grapevine and winemaking technologies; wine authenticity and traceability; botrytized wines; human resource management in small wine companies.

Digital image-based tracing of geographic origin, winemaker, and grape type for red wine authentication

This work proposes the development of a simple, fast, and inexpensive methodology based on color histograms (obtained from digital images), and supervised pattern recognition techniques to classify red wines produced in the São Francisco Valley (SFV) region to trace geographic origin, winemaker, and grape variety. PCA-LDA coupled with HSI histograms correctly differentiated all of the SFV samples from the other geographic regions in the test set; SPA-LDA selecting just 10 variables in the Grayscale + HSI histogram achieved 100% accuracy in the test set when classifying three different SFV winemakers. Regarding the three grape varieties, SPA-LDA selected 15 variables in the RGB histogram to obtain the best result, misclassifying only 2 samples in the test set. Pairwise grape variety classification was also performed with only 1 misclassification. Besides following the principles of Green Chemistry, the proposed methodology is a suitable analytical tool; for tracing origins, grape type, and even (SFV) winemakers.

Application of fluorescence spectroscopy using classical right angle technique in white wines classification

The potential of excitation - emission matrices (EEM) measurements using classical right angle technique, in conjunction with chemometrics, was prospected for white wine classification with respect to their cultivar and geographical origin. For this purpose, wines belonging to four cultivars (Chardonnay, Pinot Gris, Riesling and Sauvignon) from two different countries (Romania and France) were investigated. The excitation – emission matrices were statistically processed using parallel factor analysis (PARAFAC). According to Soft Independent Modeling Classification Analogy (SIMCA) model, for cultivar differentiation, only 3 out of 107 wine samples (1 Pinot Gris (Romania); 1 Riesling (Romania) and 1 Sauvignon (France)) were misclassified while for geographical origin assessment, only 2 wines (1 Romania and 1 France) were misclassified. This study demonstrates the potential of excitation – emission fluorescence matrices spectroscopy using the classical right angle technique in wine authentication, without sample dilution.

Testing the limits of FT-Raman spectroscopy for wine authentication: Cultivar, geographical origin, vintage and terroir effect influence

FT-Raman spectroscopy represents an environmentally friendly technique, suitable for the analysis of high-water content food matrices, like wines, due to its relatively weak water bending mode in the fingerprint region. Based on metabolomics applied to FT-Raman spectra, this study presents the classifications achieved for a sample set comprising 126 wines, originated from Romania and France, with respect to cultivar, geographical origin and vintage. Cultivar recognition was successfully performed among four varieties (Sauvignon, Riesling, Chardonnay, Pinot Gris) while subtle particularities exiting between the Chardonnay wines, coming from the two countries, because of terroir influences were pointed out. The obtained separations of 100% in both initial and cross-validation procedure for geographical differentiation between the two origin countries, as well as, among the three Romanian areas (Transylvania, Muntenia and Moldova) were also discussed. Apart of this, the limitations and the importance of choosing a meaningful data set, in terms of representativity for each classification criterion, are addressed in the present work.

Application of Spectroscopic UV-Vis and FT-IR Screening Techniques Coupled with Multivariate Statistical Analysis for Red Wine Authentication: Varietal and Vintage Year Discrimination.

One of the most important issues in the wine sector and prevention of adulterations of wines are discrimination of grape varieties, geographical origin of wine, and year of vintage. In this experimental research study, UV-Vis and FT-IR spectroscopic screening analytical approaches together with chemometric pattern recognition techniques were applied and compared in addressing two wine authentication problems: discrimination of (i) varietal and (ii) year of vintage of red wines produced in the same oenological region. UV-Vis and FT-IR spectra of red wines were registered for all the samples and the principal features related to chemical composition of the samples were identified. Furthermore, for the discrimination and classification of red wines a multivariate data analysis was developed. Spectral UV-Vis and FT-IR data were reduced to a small number of principal components (PCs) using principal component analysis (PCA) and then partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) were performed in order to develop qualitative classification and regression models. The first three PCs used to build the models explained 89% of the total variance in the case of UV-Vis data and 98% of the total variance for FR-IR data. PLS-DA results show that acceptable linear regression fits were observed for the varietal classification of wines based on FT-IR data. According to the obtained LDA classification rates, it can be affirmed that UV-Vis spectroscopy works better than FT-IR spectroscopy for the discrimination of red wines according to the grape variety, while classification of wines according to year of vintage was better for the LDA based FT-IR data model. A clear discrimination of aged wines (over six years) was observed. The proposed methodologies can be used as accessible tools for the wine identity assurance without the need for costly and laborious chemical analysis, which makes them more accessible to many laboratories.

Using neural networks to identify the regional and varietal origin of Cabernet and Merlot dry red wines produced in Krasnodar region

This paper shows a possibility of establishing the authenticity and geographic origin of wines by neural networks based on multi-element analysis. The study used 144 samples of Cabernet and Merlot dry red wines pro- duced in Krasnodar Region according to traditional technologies. The wines were provided by the producers or pur- chased in retail stores. The concentrations of 20 micro- and macroelements in red wines were determined by atomic emission spectroscopy with inductively coupled plasma. The analysis of average elemental contents showed a signi- ficant dependence of wine composition on the grape variety and place of origin, which enabled us to examine inter- relations between the elements and think of a way to identify them by means of classification models. The software STATISTICA Neural Networks was used to assess a possibility of determining the grape variety and geographical origin. The neural networks constructed in the study contained five variables corresponding to the elements with sta- tistically significant correlations between the names of the regions and the wine samples, namely Fe, Mg, Rb, Ti, and Na. These predictors were able to determine the grape variety and place of growth with a sufficiently high accuracy. In the test sample set, the accuracy reached 95.24% and 100% for variety and region identification, respectively. A software product was developed to automate the calculations based on the neural networks. The program can estab- lish the grape variety from a minimal set of microelements, and then, based on the variety and the same set of micro- elements, determine its place of origin.

Metabolomics-based authentication of wines according to grape variety

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.

Chemical typicality of South American red wines classified according to their volatile and phenolic compounds using multivariate analysis

In this study, 83 wines representating four commercial categories: “Argentinean Malbec”, “Brazilian Merlot”, “Uruguayan Tannat” and “Chilean Carménère” were analyzed according to their phenolic and volatile compounds. The objective was to identify the chemical compounds that would typify each category. From approximately about 600 peaks obtained by chromatographic techniques, 169 were identified and 53 of them were selected for multivariate statistical analysis. Chilean Carménère was the best discriminated group by the methods applied in our study, followed by Argentinean Malbec. Brazilian Merlot mixed mainly with some Carménère, whileTannat mixed with all wines categories, especially Malbec. In general, Chilean Carménère wines can be characterized by a bluish color, higher amounts of sulphur dioxide, higher content of octanoic acid, isobutanol, ethyl isoamyl succinate and catechin and a smaller amount of quercetin. These data can contribute for further process of authenticity or typification of South American red wines.

Potential of lead elemental and isotopic signatures for authenticity and geographical origin of Bordeaux wines

Lead concentrations and lead isotope ratios of 43 authentic Bordeaux wines from prestigious châteaux and 14 suspicious Bordeaux origin were determined to evaluate their potential for authenticity and geographical origin assessment. Results have shown that the total Pb concentrations in Bordeaux wines drastically decreased over the previous 50 years with a clear shift of isotopic signatures towards geogenic values corresponding to an overall trend of European environmental lead monitoring. The Pb isotopic ratios determined in both series of samples clearly demonstrated that suspicious Bordeaux wines displayed Pb isotopic signatures statistically distinctive from those obtained for authentic wines. This observation was confirmed by the three-isotope mixing lines obtained between the geogenic and the anthropogenic Pb isotopes data that characterize European and Asian sources. The use these specific three-isotope plots allows a non-ambiguous discrimination between authentic Pauillac AOC and the counterfeited ones.

Croatian Wines from Native Grape Varieties Have Higher Distinct Phenolic (Nutraceutic) Profiles than Wines from Non-Native Varieties with the Same Geographic Origin.

Croatian wines made from native (Plavac mali and Teran) and non-native grape varieties (Cabernet Sauvignon and Merlot), all grown in Croatian coastal regions, were investigated. Analyses included measurements of antioxidant activities, total phenolic contents and concentrations of non-colored phenolic compounds, chosen based on their known nutraceutical properties. Plavac mali wines were distinguished by higher antioxidant activity, total phenolic content and catechin concentrations but lower flavonol concentrations. Teran wines had higher hydroxytyrosol, myricetin and resveratrol concentrations. Merlot and Cabernet Sauvignon wines had higher flavonol concentrations (except myricetin). Canonical analysis was successful in discriminating Plavac mali from Teran wines, and both varieties were separated from non-native varieties. The results indicate distinct genetic potentials of studied varieties and enable wine authentication based on the investigated bioactive compounds.

Wine Authentication Using Integration Assay of MIR, NIR, E-tongue, HS-SPME-GC-MS, and Multivariate Analyses: A Case Study for a Typical Cabernet Sauvignon Wine.

Background: Cabernet Sauvignon wine enjoys large market in China, and its adulteration has become a well-known problem and challenge. Objective: This study aims to evaluate the capabilities of multiple techniques, including headspace-solid-phase microextraction-GC-MS (HS-SPME-GC-MS), electronic tongue (E-tongue) spectroscopy, mid-infrared (MIR) spectroscopy, and near-infrared (NIR) spectroscopy, to differentiate this popular imported wine in China. Methods: MIR spectroscopy, NIR spectroscopy, E-tongue spectroscopy, and HS-SPME-GC-MS were used. Multivariate analysis techniques were applied to further explore the instrumental determination data for the wine discrimination. Results: Joint use of MIR and NIR with Grey relational analysis (GRA), E-tongue with principal component analysis (PCA) and hierarchical cluster analysis, and HS-SPME-GC-MS with PCA allowed unanimous differentiation of the wines. Conclusions: The approach described herein offers both ecologically friendly and multiperspective mutual corroboration techniques for Cabernet Sauvignon wine discrimination. The integrative methodology could be used as a reference for wine authentication. Highlights: GRA was first applied to discriminate the wine samples. Mutual corroboration was verified by multivariate statistics combined with MIR, NIR, E-tongue, and SPME-GC/MS. Integrated techniques pointed to a unanimous authentication of the wine samples.

Discrimination of Chinese yellow wine from different origins based on flavor fingerprint

In this study, discrimination of Chinese yellow wines from Shaoxing, Shandong, and Hubei in China has been carried out according to volatile flavor components. A total of 122 yellow wine samples were characterized by gas chromatography–ion mobility spectrometry (GC–IMS). A simple color mixing method was visually used to select characteristic peaks based on the RGB color model. Then, the volatile organic compounds corresponding to the selected characteristic peaks were identified via library searching, and the height values of those peaks were arranged for further chemometric pretreatment. Principal component analysis was employed to reveal significant differences and potential patterns between samples. Finally, quadratic discriminant analysis was applied to develop a classification model and achieved a correct classified rate of 95.35% for the prediction set. The results prove that the aroma composition combined with chemometric tools can be used as a fingerprinting technique to protect the product of origin and enable the authenticity of Chinese yellow wine.

Strontium elemental and isotopic signatures of Bordeaux wines for authenticity and geographical origin assessment

The 87Sr/86Sr ratio and Sr concentrations of 43 authentic Bordeaux wines from the world’s most prestigious châteaux are presented in the context of their relation to the geographical origin of wine and authenticity. The results demonstrate relatively narrow spans of variabilities observed for 87Sr/86Sr ratio and Sr concentrations in authentic Bordeaux wines, which can be used with reasonable certainty as specific parameters for identifying regional wineries. For comparison, a set of imitated Bordeaux wines was studied for Sr isotopic and elemental compositions. A significant excess of both parameters in suspicious wines were found in reference to authentic values. Such natural and anthropogenically induced variations offer an enhanced discriminating potential of Sr. The unique Sr binary signature may detect imitated wines and trace genuine products from different regional wineries. The obtained results shown a promising perspective for wine authenticity control by means of Sr isotopic and elemental composition.

Geographic characterization of Greek wine by inductively coupled plasma–mass spectrometry macroelemental analysis

Studying wine mineral profile has been proven as a valuable tool in geographical origin discrimination and authenticity for both producers and consumers. Adulteration of wines, in terms of geographical origin or variety, is considered a major topic of extensive research. Traceability and authenticity of wines have been previously studied on the basis of typical mineral element patterns by means of chemometric methods. In this context, analytical methods were developed for the determination of mineral elements in wines by inductively coupled plasma–mass spectrometry. This study aimed at classifying selected varietal Greek wines from various regions by employing instrumental analysis. Preliminary data of wine mineral content enabled for the classification of samples according to geographical origin and variety. However, further work is required in order to draw more valid conclusions and to obtain a detailed map of the mineral element content of Greek wines according to their geographical origin and/or variety.

How to integrate wet lab and bioinformatics procedures for wine DNA admixture analysis and compositional profiling: Case studies and perspectives.

The varietal authentication of wines is fundamental for assessing wine quality, and it is part of its compositional profiling. The availability of historical, cultural and chemical composition information is extremely important for quality evaluation. DNA-based techniques are a powerful tool for proving the varietal composition of a wine. SSR-amplification of genomic residual Vitis vinifera DNA, namely Wine DNA Fingerprinting (WDF) is able to produce strong, analytical evidence concerning the monovarietal nature of a wine, and for blended wines by generating the probability of the presence/absence of a certain variety, all in association with a dedicated bioinformatics elaboration of genotypes associated with possible varietal candidates. Together with WDF we could exploit Bioinformatics techniques, due to the number of grape genomes grown. In this paper, the use of WDF and the development of a bioinformatics tool for allelic data validation, retrieved from the amplification of 7 to 10 SSRs markers in the Vitis vinifera genome, are reported. The wines were chosen based on increasing complexity; from monovarietal, experimental ones, to commercial monovarietals, to blended commercial wines. The results demonstrate that WDF, after calculation of different distance matrices and Neighbor-Joining input data, followed by Principal Component Analysis (PCA) can effectively describe the varietal nature of wines. In the unknown blended wines the WDF profiles were compared to possible varietal candidates (Merlot, Pinot Noir, Cabernet Sauvignon and Zinfandel), and the output graphs show the most probable varieties used in the blend as closeness to the tested wine. This pioneering work should be meant as to favor in perspective the multidisciplinary building-up of on-line databanks and bioinformatics toolkits on wine. The paper concludes with a discussion on an integrated decision support system based on bioinformatics, chemistry and cultural data to assess wine quality.

Wine Authenticity by Quantitative 1H NMR Versus Multitechnique Analysis: a Case Study

Food counterfeit is a major issue for food industries. In the case of wines, there can be multiple forgeries such as geographical, vintage, or varietal mislabeling. For the last 10 years, the use of quantitative 1H NMR (q-NMR) for food authentication has experienced an enormous increase. This study was based on a comparative evaluation of the results obtained for three sets of authentic high-valued wines and suspected wines. Two methodologies have been followed: (i) the usual wine analysis, based on the utilization of multiple techniques, which is the traditional way of analysis for wine authentication and (ii) q-NMR profiling, the alternative proposed method. For wine comparison, an original approach based on similarity score (S-score) by analogy to the Z-score calculation was developed. A limit of four S-scores outside the range − 2/2 has been, arbitrary, defined to reveal that wines are different using q-NMR analysis. Data treatments allowed the extraction of discriminating parameters, some of which were common to both approaches while others could be linked to the techniques’ capabilities showing the complementarity of the two approaches. This study demonstrated the potential of q-NMR in wine authentication by comparative analysis with authentic samples. The q-NMR alternative method has also the advantages of rapidity (around 20 min including sample preparation, analysis, and data treatment) and low volume (0.5 mL), which is a prerequisite for analyzing priceless wines.