Application of Volatile Compounds Analysis for Distinguishing between Red Wines from Poland and from Other European Countries

Stój, Anna; Czernecki, Tomasz; Domagała, Dorota; Targoński, Zdzisław

doi:10.21548/38-2-2079

Cited by 8 publications

(7 citation statements)

References 41 publications

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“…Ziółkowska et al (2016) applied LDA to the differentiation of white and red wines according to their geographical origin, based on volatile composition (determined by SPME/GC/MS) and they reported that the best discrimination among samples was obtained using hexanol (or hexan‐1‐ol) and phenylethyl alcohol (or 2‐phenyl ethanol), as well as ethyl decanoate and ethyl dodecanoate. Stój et al (2017) reported that the application of volatile compounds (determined by HS/SPME/GC/MS) and ANOVA, in combination with the Kruskal–Wallis test, resulted in statistically significant differences between French, Italian, Spanish and Polish red wines, based on their concentration of 3‐methylbutan‐1‐ol, hexanol (or hexan‐1‐ol), ( E )‐3‐hexen‐1‐ol, 3‐ethoxypropan‐1‐ol, butane‐2,3‐diol, phenylmethanol, 2‐phenylethanol, ethyl 2‐hydroxy‐4‐methylpentanoate, ethyl phenylacetate, 2‐phenylethyl acetate and 3‐(methylsulfanyl) propan‐1‐ol. The multiple comparisons test showed that hexanol efficiently distinguished Polish wines from those from other regions.…”

Section: Resultsmentioning

confidence: 99%

“…To date, 700–800 aroma compounds have been identified in wine (Berger 2007, Villamor and Ross 2013), which provides strong evidence of its complex composition. Gas chromatography/MS is the analytical technique typically used for the identification of aroma compounds in wine, in combination with methodologies, such as headspace solid‐phase micro‐extraction (HS/SPME), and GC/olfactometry (López et al 2002, Escudero et al 2007, Li et al 2008, Tao et al 2008, Munoz‐Gonzalez et al 2011, Stój et al 2017). Volatile analysis has been used to verify the geographical origin of wine (Ziółkowska et al 2016, Stój et al 2017), the grape cultivar (Ziółkowska et al 2016), vintage (Zhang et al 2013), and to identify instances of wine fraud (Stój et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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Volatilome of white wines as an indicator of authenticity and adulteration control using statistical analysis

Karabagias

Badeka

2021

Australian Journal of Grape and Wine Research

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Background and Aims Wine is one of the oldest alcoholic beverages consumed by humans and its price is related to the product and quality status. The aim of this study was to investigate whether specific volatile compounds could be used as indicators of authenticity and adulteration with water. Methods and Results Eight dry and demi‐sec white wines of Protected Designation of Origin or Protected Geographical Indication status were subjected to analysis of volatile compounds (volatilome) using headspace solid phase micro‐extraction coupled to GC/MS; the results of the volatile compound analysis were subjected to multivariate statistical analysis. The volatile compounds of Assyrtiko wine with 2.5, 5, 7 and 10% water added were also assessed. Conclusions Ethanol, ethyl acetate, hexanol, ethyl hexanoate, diethyl succinate, dl‐limonene, α‐terpinolene, nerol oxide, vitispirane, and ethyl decanoate, among others, could be used as indicators of either grape cultivar, geographical origin, or adulteration with water. Significance of the Study A rapid method using the volatilome for the authentication and adulteration control of Greek wines is presented for the first time.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Volatilome of white wines as an indicator of authenticity and adulteration control using statistical analysis

Karabagias

Badeka

2021

Australian Journal of Grape and Wine Research

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“…This type of investigation is also important in the context of fraud prevention in the oenological field. In research about the authenticity of red wines from Poland, Stoij et al [ 62 ] used HCA analysis to assess that the Polish wines were separated thoroughly from wines produced in other European countries, notably France, Italy, and Spain, starting from data on ethyl phenylacetate, hexan-1-ol, ethyl 2-hydroxy-4-methylpentanoate, (E)-3-hexen-1-ol, 2-phenylethanol and 3-(methylsulfanyl)propan-1-ol. Recently, Valentin et al [ 63 ] identified the chemical profile (including the volatile profile) that characterizes Chilean Carmérère wines by using HCA and PCA, starting to establish a database for further analysis of the authenticity of South American wines.…”

Section: Processing Of Hs-spme-gc-ms Data On Wine Volatiles By Multiv...mentioning

confidence: 99%

Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS

Tufariello

Pati

Palombi

et al. 2022

Foods

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This review takes a snapshot of the main multivariate statistical techniques and methods used to process data on the concentrations of wine volatile molecules extracted by means of solid phase micro-extraction and analyzed using GC-MS. Hypothesis test, exploratory analysis, regression models, and unsupervised and supervised pattern recognition methods are illustrated and discussed. Several applications in the wine volatolomic sector are described to highlight different interactions among the various matrix components and volatiles. In addition, the use of Artificial Intelligence-based methods is discussed as an innovative class of methods for validating wine varietal authenticity and geographical traceability.

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“…In order to prove the wine quality warranty for the consumer, numerous researchers studied the authenticity of a wine using labor-intensive and costly analyses which look for specific chemical features, such as elemental profile [8], isotopic fingerprints [9], and organic compounds (i.e., phenolic and volatile compounds, amino acids, sugars) [10,11,12,13] that can be related to geographical origin, varietal composition, or vintage year.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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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.

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Application of Volatile Compounds Analysis for Distinguishing between Red Wines from Poland and from Other European Countries

Cited by 8 publications

References 41 publications

Volatilome of white wines as an indicator of authenticity and adulteration control using statistical analysis

Volatilome of white wines as an indicator of authenticity and adulteration control using statistical analysis

Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS

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

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