Literature DB >> 29502836

An instrument-free method based on visible chemical waves for quantifying the ethanol content in alcoholic beverages.

Titikan Somboon1, Sira Sansuk2.   

Abstract

An alternative approach using visible chemical waves for ethanol determination is presented. The method is based on the dynamic change of chemical waves in the Belousov-Zhabotinsky (BZ) reaction by perturbation with ethanol. The observablepropagating waves, generatedina Petri dish, can be recorded by using a smartphone camera. The propagating distances are measured from photographic images and then plotted as a function of time to attain the wave velocity. It is found that wave velocities are inversely proportional to ethanol concentrations. By using this linear relationship, the ethanol content can be efficiently quantified with good intra-day and inter-day precision (<3% RSD). Validated by the GC technique, the developed method is highly reliable and successfully applied for quantifying the ethanol content in beer, colored whisky, and vodka samples. Hence, this new method provides an alternative practical strategy for simple quantitative detection of ethanol without the need for instruments.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alcoholic beverages; Belousov-Zhabotinsky reaction; Chemical waves; Ethanol

Mesh:

Substances:

Year:  2018        PMID: 29502836     DOI: 10.1016/j.foodchem.2018.01.168

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  2 in total

1.  Home-Made Membraneless Vaporization Gas-Liquid Separator for Colorimetric Determination of Ethanol in Alcoholic Beverages.

Authors:  Vanpaseuth Phouthavong; Hayato Inoue; Kesiny Phomkeona; Vanseng Chounlamany
Journal:  J Anal Methods Chem       Date:  2022-03-31       Impact factor: 2.193

2.  The utilization of seawater for the hydrolysis of macroalgae and subsequent bioethanol fermentation.

Authors:  Darren Greetham; Jessica M Adams; Chenyu Du
Journal:  Sci Rep       Date:  2020-06-16       Impact factor: 4.379

  2 in total

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