Literature DB >> 31762045

Authentication of Tokaj Wine (Hungaricum) with the Electronic Tongue and Near Infrared Spectroscopy.

John-Lewis Z Zaukuu1, János Soós1,2, Zsanett Bodor1, József Felföldi1, Ildikó Magyar2, Zoltan Kovacs1.   

Abstract

Tokaj wines (Hungaricum) are botrytized wines acknowledged for the unique organoleptic properties bestowed by botrytized grape berries during production. Excluding these berries during wine production or manipulating the sugar content of low-grade wines to imitate high-grade wines are some recent suspicious activities that threaten the wine quality. Advanced methods such as spectroscopy and sensor-based devices have been lauded for rapid, reliable, and cost-effective analysis, but there has been no report of their application to monitor grape must concentrate adulteration in botrytized wines. The study aimed to develop models to rapidly discriminate lower grade Tokaj wines, "Forditas I" and "Forditas II," that were artificially adulterated with grape must concentrate to match the sugar content of high-grade Tokaj wines using an electronic tongue (e-tongue) and two near infrared spectrometers (NIRS). Data were evaluated with the following chemometrics: principal component analysis (PCA), discriminant analysis (LDA), partial least square regression (PLSR), and aquaphotomics (a novel approach). There was a noticeable pattern of separation in PCA for all three instruments and 100% classification of adulterated and nonadulterated wines in LDA using the e-tongue. Aquagrams from the aquaphotomics approach showed important water absorption bands capable of being markers of Tokaj wine quality. PLSR models showed coefficient of determination (R2 CV) of 0.98 (e-tongue), 0.97 (benchtop NIRS), 0.87 (handheld NIRS), and low root mean squared errors of cross-validation. All three instruments could discriminate, classify, and predict grape must concentrate adulteration in Tokaj with a high accuracy and low error. The methods can be applied for routine quality checks of botrytized wines. PRACTICAL APPLICATION: Tokaj wines (Hungaricum) are botrytized wines acknowledged for the unique organoleptic properties bestowed by botrytized grape berries during production. Excluding these berries during wine production or manipulating the sugar content of low-grade wines to imitate high-grade wines are some recent suspicious activities that threaten the wine quality. Using advanced instruments, the electronic tongue, benchtop near infrared spectroscopy, and a handheld near infrared spectroscopy, we could discriminate, classify, and predict grape must concentrate adulteration in Tokaj with a high accuracy and low error. The models in our study can be applied for routine quality checks of botrytized wines.
© 2019 The Authors. Journal of Food Science published by Wiley Periodicals, Inc. on behalf of Institute of Food Technologists.

Entities:  

Keywords:  adulteration; aquaphotomics; botrytized wine; chemometrics; sensors; transflectance

Mesh:

Year:  2019        PMID: 31762045     DOI: 10.1111/1750-3841.14956

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  3 in total

1.  Near-Infrared Spectroscopy as a Rapid Screening Method for the Determination of Total Anthocyanin Content in Sambucus Fructus.

Authors:  Stefan Stuppner; Sophia Mayr; Anel Beganovic; Krzysztof Beć; Justyna Grabska; Urban Aufschnaiter; Magdalena Groeneveld; Matthias Rainer; Thomas Jakschitz; Günther K Bonn; Christian W Huck
Journal:  Sensors (Basel)       Date:  2020-09-02       Impact factor: 3.576

2.  Use of Artificial Neural Networks and NIR Spectroscopy for Non-Destructive Grape Texture Prediction.

Authors:  Teodora Basile; Antonio Domenico Marsico; Rocco Perniola
Journal:  Foods       Date:  2022-01-20

Review 3.  Historical Evolution and Food Control Achievements of Near Infrared Spectroscopy, Electronic Nose, and Electronic Tongue-Critical Overview.

Authors:  Balkis Aouadi; John-Lewis Zinia Zaukuu; Flora Vitális; Zsanett Bodor; Orsolya Fehér; Zoltan Gillay; George Bazar; Zoltan Kovacs
Journal:  Sensors (Basel)       Date:  2020-09-24       Impact factor: 3.576

  3 in total

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