Literature DB >> 26396290

Influencing factors of hydrogen bonding intensity in beer.

Chunfeng Liu1, Jianjun Dong2, Xiangsheng Yin3, Qi Li4, Guoxian Gu5.   

Abstract

The hydrogen bonding was prone to be formed by many components in beer. Different sorts of flavor substances can affect the Chemical Shift due to their different concentrations in beer. Several key factors including 4 alcohols, 2 esters, 6 ions, 9 acids, 7 polyphenols, and 2 gravity indexes (OG and RG) were determined in this research. They could be used to investigate the relationship between hydrogen bonding intensity and the flavor components in bottled larger beers through the Correlation Analysis, Principal Component Analysis and Multiple Regression Analysis. Results showed that ethanol content was the primary influencing factor, and its correlation coefficient was 0.629 for Correlation Analysis. Some factors had a positive correlation with hydrogen bonding intensity, including the content of original gravity, ethanol, isobutanol, Cl(-), K(+), pyruvic acid, lactic acid, gallic acid, vanillic acid, and Catechin in beer. A mathematic model of hydrogen bonding Chemical Shift and the content of ethanol, pyruvic acid, K(+), and gallic acid was obtained through the Principal Component Analysis and Multiple Regression Analysis , with the adjusted R(2) being 0.779 (P = 0.001). Ethanol content was proved to be the most important factor which could impact on hydrogen bonding association in beer by Principal Component Analysis. And then, a multiple non-linearity model could be obtained as follows: [Formula: see text]. The average error was 1.23 % in the validated experiment.

Entities:  

Keywords:  Beer; Chemical shift; Hydrogen bonding; NMR

Year:  2012        PMID: 26396290      PMCID: PMC4571221          DOI: 10.1007/s13197-012-0824-7

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   2.701


  23 in total

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2.  Identification of amino acids in wines by one- and two-dimensional nuclear magnetic resonance spectroscopy.

Authors:  I J Kosir; J Kidric
Journal:  J Agric Food Chem       Date:  2001-01       Impact factor: 5.279

3.  Probing beer aging chemistry by nuclear magnetic resonance and multivariate analysis.

Authors:  J A Rodrigues; A S Barros; B Carvalho; T Brandão; Ana M Gil
Journal:  Anal Chim Acta       Date:  2011-06-28       Impact factor: 6.558

4.  Mixture analysis by NMR as applied to fruit juice quality control.

Authors:  Manfred Spraul; Birk Schütz; Eberhard Humpfer; Monika Mörtter; Hartmut Schäfer; Susanne Koswig; Peter Rinke
Journal:  Magn Reson Chem       Date:  2009-12       Impact factor: 2.447

5.  Quantification of organic acids in beer by nuclear magnetic resonance (NMR)-based methods.

Authors:  J E A Rodrigues; G L Erny; A S Barros; V I Esteves; T Brandão; A A Ferreira; E Cabrita; A M Gil
Journal:  Anal Chim Acta       Date:  2010-07-07       Impact factor: 6.558

6.  Contribution of monophenols to beer flavour based on flavour thresholds, interactions and recombination experiments.

Authors:  Femke L Sterckx; Jonas Missiaen; Daan Saison; Freddy R Delvaux
Journal:  Food Chem       Date:  2010-12-14       Impact factor: 7.514

7.  Discrimination between orange juice and pulp wash by (1)H Nuclear Magnetic Resonance spectroscopy: identification of marker compounds.

Authors:  G Le Gall; M Puaud; I J Colquhoun
Journal:  J Agric Food Chem       Date:  2001-02       Impact factor: 5.279

8.  Composition of beer by 1H NMR spectroscopy: effects of brewing site and date of production.

Authors:  Cláudia Almeida; Iola F Duarte; António Barros; João Rodrigues; Manfred Spraul; Ana M Gil
Journal:  J Agric Food Chem       Date:  2006-02-08       Impact factor: 5.279

9.  Quantitative structure-activity relationship modeling of alcohol, ester, aldehyde, and ketone flavor thresholds in beer from molecular features.

Authors:  Yongxi Tan; Karl J Siebert
Journal:  J Agric Food Chem       Date:  2004-05-19       Impact factor: 5.279

10.  Quantitative reconstruction of the nonvolatile sensometabolome of a red wine.

Authors:  Jan Carlos Hufnagel; Thomas Hofmann
Journal:  J Agric Food Chem       Date:  2008-08-19       Impact factor: 5.279

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