Rapid assessment of red wine compositional parameters by means of a new Waveguide Vector Spectrometer. (October 2017)

• Record Type: Journal Article
• Authors: Teslić, Nemanja; Berardinelli, Annachiara; Ragni, Luigi; Iaccheri, Eleonora; Parpinello, Giuseppina P.; Pasini, Luca; Versari, Andrea
• Is Part Of: Lebensmittel-Wissenschaft + Technologie =. Volume 84(2017)
• Page Start: 433
• Page End: 440
• Publication Date: 2017-10
• Subjects: Waveguide spectroscopy -- Integrated system -- Wine composition -- Partial Least Square (PLS) regression; Glycerol (PubChem CID: 753) -- Ethanol (PubChem CID: 702); Food industry and trade -- Periodicals; Food -- Composition -- Periodicals; Microbiology -- Periodicals; Nutrition -- Periodicals; 664.005
• DOI: 10.1016/j.lwt.2017.06.008
• Languages: English
• ISSNs: 0023-6438

Abstract

Abstract: A new method for rapid assessment of selected wine parameters based on a 1.6–2.7 GHz Waveguide Vector Spectrometer (WVS) is proposed for the first time. The Gain and Phase spectra of forty-two samples of Sangiovese red wines were acquired in the best frequency range (1.6–2.1 GHz) and modelled using Partial Least Square (PLS) regression to predict alcohol, dry extract and glycerol contents. The prediction of alcohol content showed test set validation R 2 values of 0.961 (RMSE = 0.11 mL/dL) and of 0.955 (RMSE = 0.13 mL/dL) for Gain and Phase spectra, respectively. Glycerol and dry extract were predicted at the best using Gain spectra with R 2 values of 0.834 (RMSE = 0.31 g/L) and 0.861 (RMSE = 0.51 g/L), respectively. A test was also conducted to assess the technique ability in the detection of alcohol and glycerol contents by preparing and using samples of model wines with known added content of these substances. R 2 values up to 0.992 (RMSE = 0.16 mL/dL) for alcohol and 0.999 (RMSE = 0.04 g/L) for glycerol contents were obtained using Gain spectra. The suggested technique has shown to be promising for the rapid assessment of the control process of these important attributes of wines. Graphical abstract: Highlights: Non-invasive analysis of selected wine parameters was conducted with a Waveguide Vector Spectrometer (WVS). Alcohol, glycerol and dry extract were measured on red wines by FTIR and waveguide spectroscopy in the frequency range 1.6–2.7 GHz. The prediction of selected wine parameters was based on PLS regression with measures obtained with both Gain and Phase spectra.