Abstract
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.
Highlights
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[1,2,3,4,5]
A balanced sample distribution, in accordance with the classification criteria which were followed in this study, was chosen. This sample selection allowed the application of multidimensional data treatment for: (i) geographical origin differentiation (Romanian wines vs. French wines); (ii) cultivar recognition and (iii) vintages separation
The present work proposed a versatile method through which, by using the same analytical method and statistical treatment, different kind of wine classifications can be achieved. It was confirmed the potential of anti-Stokes spectral region, along with fingerprinting region from Stokes area, for white wine discrimination studies, based on FT-Raman metabolomics
Summary
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[1,2,3,4,5]. In order to implement an environmentally friendly method, the first step is to partially or totally reduce the wastes from the preparation step This condition could be fulfilled through the direct analysis of the samples. This approach is not always possible, because of the specificity of each analytical method, but one of the techniques that can accomplish this condition is represented by Raman spectroscopy. The importance of anti-Stokes spectral range for wine differentiation was emphasized in this previous study, performed on a sample set formed by 34 wines from Romania and France[6] In this regard, the present work intends to prospect the classification efficiency and limitations of this approach, when an extended sample set, comprising 126 wine samples from Romania (80) and France (46), belonging to four cultivars (Sauvignon, Riesling, Chardonnay and Pinot Gris) and six vintages, was tested. The conditions that must be fulfilled, in terms of data set representatives, for successful classifications are discussed here
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
