Bruker today announced the release of the updated and enhanced version 3.1 Wine-Profiling module of the successful NMR FoodScreener platform. Developed and validated together with Bruker’s wine analysis consortium partners, Eurofins Scientific Group (Brussels, Belgium) and WineSpin-Analytics GmbH & Co. KG (Aspisheim, Germany), as well as further partners from the wine industry and the field of wine research, the new 3.1 release fulfils market needs for an improved coverage of white wines in the three most recent vintages and for better coverage of certain regions, appellations and grape varieties.
Wine-Profiling by Nuclear Magnetic Resonance (NMR) combines quality control and testing of authenticity in a unique way. The new module, now based on 19,000 reference samples (an increase of 46% from version 3.0) delivers easy and cost efficient analysis for quality and authenticity of samples regarding origin, variety and the addition of water.
The new 3.1 Wine-Profiling module now adds the following capabilities:
Verification of geographical origin by country for white wines (Austria, France, Germany, Italy, Spain) and for red wines (Chile)
Verification of special regions: Bourgogne (red, white), Languedoc (red), Rhone (red) and Loire (red)
Verification of certain appellations: Chablis (France) and Valpolicella (Italy), and one new grape variety: Verdejo (Spain)
Eric Jamin, Manager of the Eurofins Authenticity Competence Center, commented: “Food and drink authenticity and adulteration have taken on a new level of importance with consumers and producers in recent years, with even the U.S. FDA now taking measures to ensure wine quality. Eurofins is excited to begin using the FoodScreener for Wine-Profiling and ensure that wine industry quality standards are maintained. This is essential as quality and safety issues are of particular importance, as well as guaranteeing origin and authenticity.”
The analysis of wine using NMR spectroscopy is an innovative solution. The principle of the method relies on the acquisition of the spectroscopic fingerprint specific to each individual sample. These metabolic profiles are compared to a large database of authentic wine samples using a multivariate statistical approach. This high-throughput technique provides a wide range of information that is both targeted (quantification of defined substances) and non-targeted (identifying deviations from reference spectra).
Thomas Bocher, Market Manager for Food, Feed & Beverage at the Bruker BioSpin Group, commented: “We are really excited to bring this new and enhanced version to market, in collaboration with international experts and wine producers. Every year consumers are confronted with food scandals, damaging public trust in the integrity of food supply chains. Food quality and safety are important issues for manufacturers, retailers, government control agencies and consumer protection organizations. Our Wine-Profiling module 3.1 has improvements across the board from all existing models and addresses the need for improved coverage of white wines in the three most recent vintage years as well as better coverage of certain regions, appellations and grape varieties. Our solution provides a unique advantage for our customers in the wine industry.”
For more information about the NMR FoodScreener, please visit bruker.com/NMR-FoodScreener
About Bruker Corporation
For more than 50 years, Bruker (bruker.com) has enabled scientists to make breakthrough discoveries and develop new applications that improve the quality of human life. Bruker's high-performance scientific research instruments and high-value analytical solutions enable scientists to explore life and materials at molecular, cellular and microscopic levels.
In close cooperation with our customers, Bruker is enabling innovation, productivity and customer success in life science molecular research, in applied and pharma applications, and in microscopy, nano-analysis and industrial applications, as well as in cell biology, preclinical imaging, clinical research, microbiology and molecular diagnostics.