Literature DB >> 26243964

Study of the rapid detection of γ-aminobutyric acid in rice wine based on chemometrics using near infrared spectroscopy.

Tiebing Liu1, Yang Zhou1, Yinbang Zhu1, Minji Song1, Bo-Bin Li2, Yang Shi1, Jinyan Gong2.   

Abstract

Rice wine, in which γ-aminobutyric acid is present, is beneficial to human health and is one of the three most well-known fermented wines in the world, and is very popular in China. The rapid detection of γ-aminobutyric acid was studied in rice wine using near infrared spectroscopy with an optical fibre probe. Through the selection of detection conditions, including a waveband range of 12500-4000 cm(-1), a scanning duration of 16 scans and a resolution of 8 cm(-1), the near infrared spectrum of rice wine was acquired three times, for every wine sample, with an optical fibre probe. The resulting average value of the spectrum was obtained and the corresponding data were analysed via normalization. By adopting a multivariate calibration partial least squares method (PLS) and establishing a calibration model, the highest precision for γ-aminobutyric acid in rice wine was predicted when the factor coefficient was 17. The overall results demonstrating the content of γ-aminobutyric acid in rice wine was predicted to be between 157.6696-317.5813 mg/L, with a relative standard deviation of prediction between 0.01-5 %, as well as the fact that the single sample measuring time was less than 20 s, prove that near infrared spectroscopy is a rapid, accurate and effective method to adopt for detecting the content of γ-aminobutyric acid in rice wine.

Entities:  

Keywords:  Near infrared spectroscopy; Optical fibre probe; Partial least squares; Rice wine; γ-aminobutyric acid (GABA)

Year:  2014        PMID: 26243964      PMCID: PMC4519452          DOI: 10.1007/s13197-014-1576-3

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


  10 in total

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Authors:  Ryutaro Teraoka; Hiroyuki Abe; Tadaaki Sugama; Kiyomi Ito; Masaki Aburada; Makoto Otsuka
Journal:  J Nat Med       Date:  2011-10-18       Impact factor: 2.343

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Authors:  P G Osborne; Y Hu; D N Covey; B N Barnes; Z Katz; K L Drew
Journal:  Brain Res       Date:  1999-08-21       Impact factor: 3.252

4.  Selective determination of gamma-aminobutyric acid, glutamate and alanine by mixed micellar electrokinetic chromatography and fluorescence detection.

Authors:  Li-Yao Zhang; Meng-Xiang Sun
Journal:  J Chromatogr A       Date:  2005-10-10       Impact factor: 4.759

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Journal:  Neurosci Lett       Date:  1984-09-07       Impact factor: 3.046

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Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2004-09-05       Impact factor: 3.205

Review 7.  gamma-Aminobutyric acid (GABA) metabolism in mammalian neural and nonneural tissues.

Authors:  N J Tillakaratne; L Medina-Kauwe; K M Gibson
Journal:  Comp Biochem Physiol A Physiol       Date:  1995-10

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10.  Improved high-performance liquid chromatographic method for GABA and glutamate determination in regions of the rodent brain.

Authors:  Danielle Marra de Freitas Silva; Vany P Ferraz; Angela Maria Ribeiro
Journal:  J Neurosci Methods       Date:  2008-10-21       Impact factor: 2.390

  10 in total
  2 in total

1.  Classification and compositional characterization of different varieties of cocoa beans by near infrared spectroscopy and multivariate statistical analyses.

Authors:  Douglas Fernandes Barbin; Leonardo Fonseca Maciel; Carlos Henrique Vidigal Bazoni; Margareth da Silva Ribeiro; Rosemary Duarte Sales Carvalho; Eliete da Silva Bispo; Maria da Pureza Spínola Miranda; Elisa Yoko Hirooka
Journal:  J Food Sci Technol       Date:  2018-04-16       Impact factor: 2.701

2.  Non-destructive and rapid evaluation of aflatoxins in brown rice by using near-infrared and mid-infrared spectroscopic techniques.

Authors:  Fei Shen; Qifang Wu; Xiaolong Shao; Qiang Zhang
Journal:  J Food Sci Technol       Date:  2018-01-12       Impact factor: 2.701

  2 in total

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