Optimisation of the optical path-length for the measurement of volatile compounds in wine using ultraviolet/visible/and near-infrared spectroscopy

Abstract Analytical methods used for wine analysis, particularly secondary metabolites and volatile compounds, demand expensive instrumentation and require time-consuming extraction processes. Conversely, ultraviolet–visible (UV–Vis), and near-infrared (NIR) spectroscopy, have emerged as valuable analytical tools due to their simplicity, rapid analysis, and non-destructive nature. There is a significant lack of research reporting the optimal path length required for the routine analysis of wine samples. This study evaluated four optimal path lengths (1, 2, 5, and 10 mm) on the UV/Vis/NIR spectra in commercial red and white wine samples. Calibration models were developed for volatile compounds analysed using gas chromatography–mass spectrometry and the UV/Vis/NIR spectra of the samples. The best calibrations were achieved using the spectra of the wine samples collected using 1 mm cuvette, particularly for decanoic acid (r2v = 0.82; RPD = 3.37), ethyl hexanoate (r2v = 0.94; RPD = 3.32), isoamyl acetate (r2v = 0.89; RPD = 4.06), and phenylethyl acetate (r2v = 0.95; RPD = 4.38). The results of this study demonstrated the importance and the effect of the optical path length on UV/Vis/NIR spectra of wine samples for the calibration of volatile compounds, as well as the potential of this technique in predicting these compounds.

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Publication Details

Journal
International Journal of Food Science & Technology
Published
2025-01-01
DOI
https://doi.org/10.1093/ijfood/vvaf090
Citations
3
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
2.26
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article

Optimisation of the optical path-length for the measurement of volatile compounds in wine using ultraviolet/visible/and near-infrared spectroscopy

Júlia Manzano, María Vilanova, Daniel Cozzolino
3 citations
International Journal of Food Science & Technology
Spectroscopy and Chemometric Analyses
2.26
article

Optimisation of the optical path-length for the measurement of volatile compounds in wine using ultraviolet/visible/and near-infrared spectroscopy

Júlia Manzano, María Vilanova, Daniel Cozzolino
article en
3 citations

Abstract

Abstract Analytical methods used for wine analysis, particularly secondary metabolites and volatile compounds, demand expensive instrumentation and require time-consuming extraction processes. Conversely, ultraviolet–visible (UV–Vis), and near-infrared (NIR) spectroscopy, have emerged as valuable analytical tools due to their simplicity, rapid analysis, and non-destructive nature. There is a significant lack of research reporting the optimal path length required for the routine analysis of wine samples. This study evaluated four optimal path lengths (1, 2, 5, and 10 mm) on the UV/Vis/NIR spectra in commercial red and white wine samples. Calibration models were developed for volatile compounds analysed using gas chromatography–mass spectrometry and the UV/Vis/NIR spectra of the samples. The best calibrations were achieved using the spectra of the wine samples collected using 1 mm cuvette, particularly for decanoic acid (r2v = 0.82; RPD = 3.37), ethyl hexanoate (r2v = 0.94; RPD = 3.32), isoamyl acetate (r2v = 0.89; RPD = 4.06), and phenylethyl acetate (r2v = 0.95; RPD = 4.38). The results of this study demonstrated the importance and the effect of the optical path length on UV/Vis/NIR spectra of wine samples for the calibration of volatile compounds, as well as the potential of this technique in predicting these compounds.

International Journal of Food Science & TechnologyVol. 60(1)
The University of Queensland (AU), Instituto de Ciencias de la Vid y del Vino (ES), Agriculture and Food (AU), ARC Centre of Excellence for Plant Success in Nature and Agriculture (AU)
Openalex Percentile: Top 14%
Spectroscopy and Chemometric Analyses
2.26
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Optimisation of the optical path-length for the measurement of volatile compounds in wine using ultraviolet/visible/and near-infrared spectroscopy — Júlia Manzano, María Vilanova, et al. · International Journal of Food Science & Technology (2025) | TGRS Research Map | TGRS