Literature DB >> 29784366

Raman spectroscopy for wine analyses: A comparison with near and mid infrared spectroscopy.

Cláudia A Teixeira Dos Santos1, Ricardo N M J Páscoa1, Patrícia A L S Porto2, António L Cerdeira2, J M González-Sáiz3, C Pizarro3, João A Lopes4.   

Abstract

Routine wine analysis are commonly employed to ensure the quality and safety standards, and to meet consumers' demands and legal requirements. In the last decades, efforts have been done in order to replace the traditional analytical techniques by vibrational spectroscopic techniques such as near infrared (NIR) and mid infrared (MIR) spectroscopy. The potential of these techniques has already been proved by several studies that revealed their ability for the determination of several wine parameters with high levels of precision and accuracy. Raman spectroscopy, (which is also a vibrational technique), was much less explored in the wine industry. In this work, the ability of Raman spectroscopy for routine wine analysis was evaluated and compared to NIR and MIR spectroscopy. Several calibration models were developed aiming the quantitative assessment of alcoholic strength, density, total acidity, volatile acidity, total sugars and pH in white wines. For this purpose, partial least squares (PLS) regression was employed, enabling the correlation between reference results and spectral information obtained by NIR, MIR and Raman spectroscopy. Results revealed the better performance of MIR spectroscopy for the measurement of alcoholic strength (R2P = 0.99, RMSEP=1.77%, and RER=56.41), and total acidity (R2P = 0.98, RMSEP=2.02%, and RER=49.46). Raman spectroscopy was pointed out as the most suitable for the determination of total sugars (R2P = 0.97, RMSEP=5.12%, RER=19.52), and pH (R2P = 0.90, RMSEP=4.92%, RER=20.34). The three techniques presented similar results in what referred the assessment of density (R2P = 0.96, 0.98, and 0.97, RMSEP=4.72%, 3.90%, and 3.80%, for Raman, MIR, and NIR respectively). None of the three techniques seemed to be suitable for the accurate determination of volatile acidity (R2P <0.78, RMSEP>14.32%, and RER<6.98).
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Calibration models; Comparison; Multivariate analysis; Raman spectroscopy; Vibrational spectroscopy; Wine analysis

Mesh:

Year:  2018        PMID: 29784366     DOI: 10.1016/j.talanta.2018.04.075

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  4 in total

1.  Antioxidant capacity of Camellia japonica cultivars assessed by near- and mid-infrared spectroscopy.

Authors:  Ricardo N M J Páscoa; A Margarida Teixeira; Clara Sousa
Journal:  Planta       Date:  2018-12-01       Impact factor: 4.116

2.  Discrimination of Falsified Erectile Dysfunction Medicines by Use of an Ultra-Compact Raman Scattering Spectrometer.

Authors:  Tomoko Sanada; Naoko Yoshida; Kazuko Kimura; Hirohito Tsuboi
Journal:  Pharmacy (Basel)       Date:  2020-12-24

Review 3.  The microbiome of Chinese rice wine (Huangjiu).

Authors:  Shufang Tian; Weizhu Zeng; Fang Fang; Jingwen Zhou; Guocheng Du
Journal:  Curr Res Food Sci       Date:  2022-01-31

4.  Using Raman Spectroscopy as a Fast Tool to Classify and Analyze Bulgarian Wines-A Feasibility Study.

Authors:  Vera Deneva; Ivan Bakardzhiyski; Krasimir Bambalov; Daniela Antonova; Diana Tsobanova; Valentin Bambalov; Daniel Cozzolino; Liudmil Antonov
Journal:  Molecules       Date:  2019-12-31       Impact factor: 4.411

  4 in total

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