Application of two-dimensional J-resolved nuclear magnetic resonance spectroscopy to differentiation of beer

被引:43
|
作者
Khatib, A
Wilson, EG
Kim, HK
Lefeber, AWM
Erkelens, C
Choi, YH
Verpoorte, R
机构
[1] Leiden Univ, Div Pharmacognosy, Sect Metabol, Inst Biol, NL-2300 RA Leiden, Netherlands
[2] Leiden Univ, Div NMR, Leidin Inst Chem, NL-2300 RA Leiden, Netherlands
关键词
beer analysis; nuclear magnetic resonance spectroscopy; two-dimensional J-resolved spectroscopy; principal component analysis;
D O I
10.1016/j.aca.2005.11.064
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A number of ingredients in beer that directly or indirectly affect its quality require an unbiased wide-spectrum analytical method that allows for the determination of a wide array of compounds for its efficient control. H-1 nuclear magnetic resonance (NMR) spectroscopy is a method that clearly meets this description as the broad range of compounds in beer is detectable. However, the resulting congestion of signals added to the low resolution of H-1 NMR spectra makes the identification of individual components very difficult. Among two-dimensional (2D) NMR techniques that increase the resolution, J-resolved NMR spectra were successfully applied to the analysis of 2-butanol extracts of beer as overlapping signals in H-1 NMR spectra were fully resolved by the additional axis of the coupling constant. Principal component analysis based on the projected J-resolved NMR spectra showed a clear separation between all of the six brands of pilsner beer evaluated in this study. The compounds responsible for the differentiation were identified by 2D NMR spectra including correlated spectroscopy and heteronuclear multiple bond correlation spectra together with J-resolved spectra. They were identified as nucleic acid derivatives (adenine, uridine and xanthine), amino acids (tyrosine and proline), organic acid (succinic and lactic acid), alcohol (tyrosol and isopropanol), cholines and carbohydrates. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:264 / 270
页数:7
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