Simultaneous determination of alcohol and carbohydrate content in commercial beverages by ultrasound frequency analysis.

Talanta

Chemistry Department, McGill University, 801 Sherbrooke Street West, Montreal, Québec H3A 2K6, Canada.

Published: October 2011

AI Article Synopsis

  • Monitoring the composition of commercial beverages is essential for maintaining quality, and on-line measurements allow for real-time optimization.
  • A new method using ultrasound frequency analysis has been developed to measure ethanol and carbohydrate concentrations in liquid mixtures based on the distortion of ultrasound waves caused by the chemical composition.
  • Multilinear regression achieved high accuracy in estimating these concentrations in various beverages, with potential for reduced error and no need for sample extraction.

Article Abstract

Controlling the composition of commercial beverages is critical for quality control. Rapid on-line measurements would allow optimization in real time. We have developed a methodology to monitor the volume fraction of ethanol and the carbohydrate concentrations in liquid mixtures using ultrasound frequency analysis. Characteristic distortion to ultrasound waves propagating through liquids is induced by the specific chemical composition of the mixture. The distortion induced by the hydrogen bonding between water, ethanol, and sucrose can be monitored in the frequency domain using 5 MHz wideband ultrasonic transducers. Multilinear regression was used to quantify both ethanol and sucrose over a wide range of concentrations with correlation coefficients (r(2)) greater than 0.98. Calibrations based on prepared solutions were then used to estimate the ethanol volume and carbohydrate concentration in 22 commercial beverages ranging from sodas to distilled alcohols. Results indicate that the ethanol and carbohydrates could be estimated with a 3.18% and 0.032 g/mL error, respectively. Further, by focusing the analysis over a limited range, the error could be reduced to 0.81% ethanol. This technique demonstrates a strong potential for rapid, in situ monitoring of beverage production, which excludes sample extraction and pretreatment.

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http://dx.doi.org/10.1016/j.talanta.2011.09.032DOI Listing

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