Quantitative analysis of wine and other fermented beverages with benchtop NMR

被引:22
作者
Matviychuk, Yevgen [1 ]
Haycock, Sharlene [2 ]
Rutan, Tanya [3 ]
Holland, Daniel J. [1 ]
机构
[1] Univ Canterbury, Private Bag 4800, Christchurch 8140, New Zealand
[2] Nelson Marlborough Inst Technol, Marlborough Campus,POB 643, Blenheim 7240, New Zealand
[3] Marlborough Res Ctr, Bragato Res Inst, 85 Budge St, Blenheim 7201, New Zealand
关键词
Quantitative NMR Spectroscopy; Medium-field NMR; Mixture analysis; Fermentation; Wine; Beer; AMINO-ACIDS; H-1-NMR; GRAPE; SPECTROSCOPY; VALIDATION; ALGORITHM; SPECTRA; DRINKS; H-1;
D O I
10.1016/j.aca.2021.338944
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
We present a fully automated approach for quantitative compositional analysis of fermented beverages using benchtop nuclear magnetic resonance (NMR) spectroscopy. NMR spectroscopy, renowned for its applications in chemical structure elucidation, is gaining attention as a quantitative analytical technique due to its inherent linearity and the ability to obtain comprehensive quantitative information with a single simple experiment. Recently developed benchtop NMR spectrometers offer the quantitative capabilities of NMR to a wide range of potential users in industry, but their applicability has been limited by the reduced effective spectral resolution and the need for more advanced data processing. We address this problem with a model-based algorithm that hinges on the well-understood description of quantum mechanical phenomena in NMR spectroscopy. We demonstrate the effectiveness of our approach on a challenging problem of analysing the composition of wine and related fermented beverages e an important potential niche application of quantitative NMR. We successfully quantify more than 15 major components in the wine matrix and enable the quantification of species whose analysis is generally not possible with established methods. The average discrepancy of the obtained concentrations, when compared to the traditional methods of analysis, usually does not exceed 10% and is lower for the most abundant species (e.g. below 5% for ethanol). (C) 2021 Elsevier B.V. All rights reserved.
引用
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页数:13
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