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

Pasvanka, Konstantina; Tzachristas, Alexandros; Kostakis, Marios; Thomaidis, Nikolaos S.; Proestos, Charalampos

doi:10.1080/00032719.2019.1596118

Cited by 9 publications

(9 citation statements)

References 21 publications

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“…A total of 90 wine samples from 9 varieties-white and red-were collected from 6 different regions and various producers in Greece (Figure 1) [4]. The wines were derived from 2 consecutive harvests, 2017 and 2018.…”

Section: Wine Samplesmentioning

confidence: 99%

“…Data on mineral elements as probe of origin determination must be carefully interpreted because mineral content in wines depends on many factors that can easily mask vital elemental information [2]. Many of these factors are natural sources (vineyard soil geochemistry), external contamination of the grapevine during growth, contamination through the winemaking process, as well as grape variety, maturity, and climatic conditions [3,4]. Other potential sources that affect mineral content are soil amendments, atmospheric pollution, pesticides, fertilizers, irrigation water, contact materials during transport, vinification and aging processes, enological processing aids, and additives [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

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ICP–MS Analysis of Multi-Elemental Profile of Greek Wines and Their Classification According to Variety, Area and Year of Production

et al. 2021

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Major, minor and trace elements in wines from Greece were determined by inductively coupled plasma–mass spectrometry (ICP–MS). The concentrations of 44 elements (Na, Mg, P, K, Ca, Cu, Co, Cr, Zn, Sn, Fe, Mn, Li, Be, B, V, Sr, Ba, Al, Ag, Ni, As, Sn, Hg, Pb, Sb, Cd, Ti, Ga, Zr, Nb, Pd, Te, La, Sm, Ho, Tm, Yb, W, Os, Au, Tl, Th, U) in 90 white and red wines from six different regions in Greece for two consecutive vinification years, 2017 and 2018, were determined. Results for the elements aforementioned were evaluated by multivariate statistical methods, such as discriminant analysis and cluster analysis, and the wines were discriminated according to wine variety and geographical origin. Due to the specific choice of the analytes for multivariate statistical investigation, a prediction rate by cross-validation of 98% could be achieved. The aim of this study was not only to reveal specific relationships between the wine samples or between the chemical variables in order to classify the wines from different regions and varieties according to their elemental profile (wine authentication), but also to observe the annual fluctuation in the mineral content of the studied wine samples.

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Section: Wine Samplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ICP–MS Analysis of Multi-Elemental Profile of Greek Wines and Their Classification According to Variety, Area and Year of Production

et al. 2021

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“…Consequently, several countries have successfully identified geographical origins by elemental analysis, such as Italy [ 18 ], Greece [ 21 ], Japan [ 22 ], United States [ 23 ], South Africa [ 24 ], Australia [ 25 ], Romania [ 26 ], and Slovenia [ 27 ]. Furthermore, these studies cite the superiority of the ICP-MS technique for determining elements.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, these studies cite the superiority of the ICP-MS technique for determining elements. Simultaneously, multivariate statistical analyses, such as principal component (PCA), linear discriminant (LDA), and cluster analysis (CA) have been widely employed in the classification and pattern modeling of wine regions [ 6 , 11 , 12 , 17 , 21 , 22 ]. Generally, most of the studies regarding wine origin identification are conducted based on the analysis of elemental concentrations in wine combined with chemometric methods.…”

Section: Introductionmentioning

confidence: 99%

From Soil to Grape and Wine: Geographical Variations in Elemental Profiles in Different Chinese Regions

Hao

Gao

et al. 2021

Foods

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Elemental profiles are frequently applied to identify the geographical origin and authenticity of food products, to guarantee quality. The concentrations of fifteen major, minor, and trace elements (Na, Mg, K, Ca, Al, Fe, Mn, Cu, Zn, Rb, Sr, Li, Cd, Cs, and Ba) were determined in soils, “Meili” grapes, and wines from six regions in China by inductively coupled plasma mass spectrometry (ICP-MS). The elemental concentrations in these samples, according to the geographical origins, were analyzed by one-way analysis of variance (ANOVA) with Duncan’s multiple comparisons. The bioconcentration factor (BCF) from soil to grape and the transfer factor (TF) from grape to wine were calculated. Mg, K, Ca, Cu, Zn, Rb, Sr, and Ba presented higher BCF values than the other seven elements. The TF values of six elements (Na, Mg, K, Zn, Li, and Cs) were found to be greater than one. Moreover, the correlation of element content between the pairs of soil–grape, grape–wine, and bioconcentration factor (BCF)–environmental factor were analyzed. Significant correspondences among soil, grape, and wine were observed for K and Li. Two elements (Sr and Li) showed significant correlations between BCF and environmental factor (relative humidity, temperature, and latitude). A linear discriminant analysis (LDA) with three variables (K, Sr, Li) revealed a high accuracy (>90%) to determine the geographical origin for different Chinese regions.

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“…There have been numerous studies characterizing regional chemical and sensory differences in wines. Typical characterization of wines includes relationship between sensory profile and volatile compounds [10][11][12], polyphenols [13][14][15][16], and elements [17,18].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Intrinsic and Perceived Quality of Sangiovese Wines from California and Italy

Canuti

Cantu²,

Picchi

et al. 2020

Foods

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Sangiovese is the most cultivated red grape variety in Italy where it is certified for the production of several Protected Designation of Origin (PDO) wines, and it is one of the most cultivated Italian red grape varieties in California. Despite the global distribution of this variety, there is a lack of international studies on Sangiovese grapes and wines. For this reason, the present study aimed to compare 20 commercial Sangiovese wines from 2017 harvest, 9 produced in Italy (Tuscany) and 11 in California, in order to evaluate the intrinsic and perceived quality. The eligibility, identity, and style properties (the intrinsic quality) of the wines were evaluated. A group of 11 Italian experts evaluated the perceived quality by rating the typicality of the wines. The experimental data showed that the intrinsic quality of Sangiovese wine samples was affected by the growing area; in particular, the wine resulted very different for the color indices and polyphenol composition. The above differences in intrinsic quality levels did not lead to a different evaluation of the perceived quality (typicality) by the wine experts. The results evidenced that Sangiovese variety is recognizable also if grown outside its original terroir, and fresh and fruity wines were considered more typical. This study expands our current knowledge of Sangiovese wines and the contribution of regional characteristics to the composition of wine.

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

Cited by 9 publications

References 21 publications

ICP–MS Analysis of Multi-Elemental Profile of Greek Wines and Their Classification According to Variety, Area and Year of Production

ICP–MS Analysis of Multi-Elemental Profile of Greek Wines and Their Classification According to Variety, Area and Year of Production

From Soil to Grape and Wine: Geographical Variations in Elemental Profiles in Different Chinese Regions

Evaluation of the Intrinsic and Perceived Quality of Sangiovese Wines from California and Italy

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