Geographic classification of U.S. Washington State wines using elemental and water isotope composition

Orellana, Shirley; Johansen, Anne M.; Gazis, Carey

doi:10.1016/j.fochx.2019.100007

Cited by 24 publications

(22 citation statements)

References 34 publications

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“…Research to determine the geographical origin of wine has not only been conducted in Europe. Articles published by Argentine ( 55 ), Brazilian ( 56 ), Chinese ( 57 ), and American ( 58 ) authors are also available in the scientific literature. The most important conclusion of these studies is that the combined application of isotopic and multi-element methods with multivariate statistical methods will provide a promising statistical model for the classification of wines with regards to their geographical origin.…”

Section: Introductionmentioning

confidence: 99%

Geographical Discrimination of Croatian Wines by Stable Isotope Ratios and Multielemental Composition Analysis

Leder

Petric

Jusup³

et al. 2021

Front. Nutr.

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The δ18O and δ13C (analyzed by isotope ratio mass spectrometry, IRMS) and concentration of 22 selected elements (analyzed by inductively coupled plasma—optical emission spectrometry, ICP-OES) in 190 Croatian microvinified and commercial wine samples from continental and coastal winegrowing areas and from three viticultural zones (B, CI, and CII) were measured to investigate whether multivariate statistical methods could provide the fingerprint for geographical origin determination. The highest power for discrimination of wines produced in Croatian winegrowing areas was achieved by general discriminant analysis (GDA) showing correct classification of 97.9% of all investigated samples, 100.0% of microvinified samples and 84.8% of commercial samples in the cross-validation matrix. The most significant markers for discrimination of coastal and continental areas found by GDA were δ18O and Co, followed by K, Rb, Sn, Li, and δ13C in descending order. GDA showed higher levels of correctly classified samples from three viticultural zones in Croatia if only microvinified samples were employed in the analysis (94.9%) than for all samples together (86.3%) or for commercial samples (66.1%) in the cross-validation matrix. The discrimination of viticultural zones B, CI, and CII in Croatia was achieved by δ18O, Co, Rb, Li, K, and Sn. The results obtained showed that the relationships between the isotopic ratios and concentrations of different considered elements combined with appropriate statistical model represent a powerful tool in discrimination of wines produced in different Croatian winegrowing areas.

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Section: Introductionmentioning

confidence: 99%

Geographical Discrimination of Croatian Wines by Stable Isotope Ratios and Multielemental Composition Analysis

Leder

Petric

Jusup³

et al. 2021

Front. Nutr.

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“…Element profiles found in wine are believed to be related to the soil and environmental conditions where the grapes are grown; however, numerous studies have demonstrated that certain factors can alter the elemental content of a wine, such as processing [26][27][28], grape cultivar [22], wine style [15,18], vintage [15,29], and contamination [30]. Nevertheless, multiple studies have successfully distinguished the geographic origin of wine, such as elemental differences in wines made from of grapes grown in different countries [13,21,24,31] or the distinctions in wines originating from different regions within countries such as Canada [27,32], Slovenia [19], Italy [20,33], Spain [24], Germany [14,34], Portugal [17,35], New Zealand [36], Australia [15], the Czech Republic [16,30], South Africa [23,37,38], Chile [18,39], Romania [25,29], China [40], Brazil [41], and the United States [42]. The success of the authentication based on elemental fingerprints in these studies varied, possibly due to the analysis of different element profiles, wine styles, and winemaking practices and, possibly, the cultivars studied.…”

Section: Introductionmentioning

confidence: 99%

The Use of Macro, Micro, and Trace Elemental Profiles to Differentiate Commercial Single Vineyard Pinot noir Wines at a Sub-Regional Level

et al. 2020

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The compositional authentication of wine is of great interest, as the geographic origin of the grapes is often associated with quality, uniqueness, and authenticity. Previous elemental fingerprinting studies mainly discriminated wines from different countries or regions within a country. Here, we report the use of element profiles to distinguish commercial Pinot noir wines from five sub-regional appellations or neighborhoods within one American viticultural area (AVA). Fifty-three single cultivar wines were collected over two harvests and analyzed using microwave plasma-atomic emission spectroscopy (MP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS). Of 62 monitored elements that were quantified with fully validated methods, 24 and 32 elements differed significantly across the neighborhoods and vintages, respectively (p < 0.05). Targeted canonical variate analysis (CVA) explained 85%-90% of the variance ratio across the two vintages, indicating persistent and stable elemental fingerprints of wines at a sub-regional level. A sixth, newly founded neighborhood was correctly grouped separately from the others using a Soft Independent Modeling of Class Analogy (SIMCA), indicating the potential of elemental fingerprints for wine authenticity.

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“…Studies have demonstrated that the 18 O/ 16 O ratio is a useful footprint for wine origin (Perini et al, 2015;Orellana et al, 2019;Bononi et al, 2020) Thus, the stable isotope oxygen is an effective indicator of wine authenticity of origin (Chatzi et al, 2016).…”

Section: Spatial Distribution Of Oxygen Isotopes In Chinese Winementioning

confidence: 99%

“…because oxygen is actively involved in the metabolism of the plants and undergoes little fractionation during the process of the plant growth. The climate and location have the strongest relationship with δ 18 O, as oxygen isotope value was positively correlated with oxygen isotope value of water and negatively correlated with precipitation(Camin et al, 2015) Orellana et al (2019). explained that Washington wines have significantly lower δ 18 O compared to California wine because of precipitation and latitude.…”

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confidence: 96%

Wine characterisation according to geographical origin using analysis of mineral elements and rainfall correlation of oxygen isotope values

Zhao

Cui

et al. 2021

Int J of Food Sci Tech

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The wine industry has developed rapidly; however, wine fraud is a potential risk for consumers. In China, methods for detecting wine authenticity are far from perfect. To reduce the risk of counterfeit wines, Inductively Coupled Plasma-Mass Spectrometry and Isotope Ratio Mass Spectrometry were used to geographically classify 104 wines from four major production areas. In this paper, the naturally distributed characteristics of thirty-eight mineral elements contents and the effect of rainfall on the oxygen isotope values in wine were investigated. The result of δ 18 O ranged from −13‰ to 7‰. The oxygen isotope of wine water in Northwest China is obviously more positive than that in South China. Linear discriminant analysis (LDA) showed 88.5% classification accuracy in training set and 81.7% in the cross-validation result. An artificial neural network (ANN) model determined origin of the wine with higher accuracy than LDA model. Furthermore, δ 18 O and Sr/Rb are important recognition elements in ANN, and the accuracy of region recognition can reach 90.9%. Thus, mineral elements and isotope ratios are effective in contributing to wine authenticity control in wine origin.

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Geographic classification of U.S. Washington State wines using elemental and water isotope composition

Cited by 24 publications

References 34 publications

Geographical Discrimination of Croatian Wines by Stable Isotope Ratios and Multielemental Composition Analysis

Geographical Discrimination of Croatian Wines by Stable Isotope Ratios and Multielemental Composition Analysis

The Use of Macro, Micro, and Trace Elemental Profiles to Differentiate Commercial Single Vineyard Pinot noir Wines at a Sub-Regional Level

Wine characterisation according to geographical origin using analysis of mineral elements and rainfall correlation of oxygen isotope values

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