Alternative approach of applying 1H NMR in conjunction with chemometrics for wine classification

Măgdaş, Dana Alina; Pı̂rnău, Adrian; Feher, Ioana; Guyon, F.; Cozar, Bogdan Ionuţ

doi:10.1016/j.lwt.2019.04.054

Cited by 27 publications

(34 citation statements)

References 17 publications

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“…Lampir et al [42] applied canonical variate analysis (CVA) and showed that hydroxycinnamic acids, (+)-catechin and (−)-epicatechin were the best discriminants and were able to classify all varietal white wines 100% correctly. Magdas et al [43] used the content of hydroxycinnamic acids in a combination with shikimic acid and (−)-epicatechin (measured by NMR) for the classification of Chardonnay, Riesling, and Sauvignon Blanc. The results using these particular groups of markers were not affected by the different geographical origins (various regions of France and Romania).…”

Section: Grape Variety Of White and Rosè Winementioning

confidence: 99%

“…The comparison of phenolic profiles of different grape cultivars is the most studied application regarding phenolics as chemical markers and is approached using combined analytical techniques such as liquid chromatography, mass spectrometry, nuclear magnetic resonance (NMR), ultraviolet-visible spectroscopy (UV-Vis), and vibrational spectroscopy [41]. Hydroxycinnamic and hydroxybenzoic acids play an important role in the differentiation of wines made from white grapes, as it was shown (Table 1) in the studies on Czech wines [42] and on Romanian and French wines [43]. The most abundant phenolic acids in wines made from local Czech grapes were protocatechuic acid (Aurelius), gallic acid (Moravian Muscat), hydroxybenzoic acids and caftaric acid (Malverina), and p-coutaric and caftaric acids (Hibernal).…”

Section: Grape Variety Of White and Rosè Winementioning

confidence: 99%

“…As already mentioned above, another study of white wines made from European and interspecific grape varieties from Czech Republic highlighted the importance of hydroxycinnamates (caftaric acid), flavan-3-ols ((+)-catechin, (-)-epicatechin), and stilbenes (cis-piceid), in addition to hydroxybenzoic acids (protocatechuic acid and p-hydroxybenzoic acid) for the differentiation of their geographical origin [40]. Phenolic acids were shown to be important markers for the separation of Chardonnay, Feteasca Regala, Pinot Gris, Riesling, and Sauvignon Blanc wines from different geographical regions of France and Romania [43,[69][70][71] and for Australian Chardonnay and Cabernet Sauvignon wines [88]. Interestingly, the differentiation among wines that came from the same country was not possible using a surface-enhanced Raman spectroscopy (SERS) [69], but it was achieved with a FT-Raman [70] having the same samples (as in the study with SERS) and proved to be a sufficient method for other white wine analysis [43].…”

Section: Geographical Origin and Phenolic Compoundsmentioning

confidence: 99%

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Phenolic Compounds as Markers of Wine Quality and Authenticity

Merkytė

Longo

Windisch

et al. 2020

Foods

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Targeted and untargeted determinations are being currently applied to different classes of natural phenolics to develop an integrated approach aimed at ensuring compliance to regulatory prescriptions related to specific quality parameters of wine production. The regulations are particularly severe for wine and include various aspects of the viticulture practices and winemaking techniques. Nevertheless, the use of phenolic profiles for quality control is still fragmented and incomplete, even if they are a promising tool for quality evaluation. Only a few methods have been already validated and widely applied, and an integrated approach is in fact still missing because of the complex dependence of the chemical profile of wine on many viticultural and enological factors, which have not been clarified yet. For example, there is a lack of studies about the phenolic composition in relation to the wine authenticity of white and especially rosé wines. This review is a bibliographic account on the approaches based on phenolic species that have been developed for the evaluation of wine quality and frauds, from the grape varieties (of V. vinifera and non vinifera), to the geographical origin, the vintage year, the winemaking process, and wine aging. Future perspectives on the role of phenolic compounds in different wine quality aspects, which should be still exploited, are also outlined.

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Section: Grape Variety Of White and Rosè Winementioning

confidence: 99%

Section: Grape Variety Of White and Rosè Winementioning

confidence: 99%

Section: Geographical Origin and Phenolic Compoundsmentioning

confidence: 99%

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Phenolic Compounds as Markers of Wine Quality and Authenticity

Merkytė

Longo

Windisch

et al. 2020

Foods

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“…There is a real need for controlling the wine’s geographical and varietal origins and vintage year, and Romania made some contributions in this direction. The most published papers refer to the geographic origin authentication of wines [30,31,32,33], while the varietal and vintage classification of wines was performed for a small number of Romanian wine samples using analytical techniques like HPLC [34,35], HPTLC [36], quantitative UV-Vis spectrophotometry [37,38], and spectroscopic techniques like FT-MIR [39,40] and NMR [41].…”

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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“…During the last years, the development of reliable approaches, based on metabolomics, which can be successfully applied in food and beverages authenticity control, had gained a very rapid development 1–5 . The basic approaches used in metabolomics are represented by targeted and untargeted analysis (metabolic profiling and metabolic fingerprinting).…”

Section: Introductionmentioning

confidence: 99%

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

Măgdaş

Cozar

Feher

et al. 2019

Sci Rep

Self Cite

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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.

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Alternative approach of applying 1H NMR in conjunction with chemometrics for wine classification

Cited by 27 publications

References 17 publications

Phenolic Compounds as Markers of Wine Quality and Authenticity

Phenolic Compounds as Markers of Wine Quality and Authenticity

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

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

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