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Beverages 2018, 4(3), 53; https://doi.org/10.3390/beverages4030053

The Effect of Soundwaves on Foamability Properties and Sensory of Beers with a Machine Learning Modeling Approach

School of Agriculture and Food, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Melbourne, VIC 3010, Australia
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Received: 10 July 2018 / Revised: 25 July 2018 / Accepted: 25 July 2018 / Published: 26 July 2018
(This article belongs to the Special Issue Brewing and Craft Beer)
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Abstract

The use of ultrasounds has been implemented to increase yeast viability, de-foaming, and cavitation in foods and beverages. However, the application of low frequency audible sound to decrease bubble size and improve foamability has not been explored. In this study, three treatments using India Pale Ale beers were tested, which include (1) a control, (2) the application of audible sound during fermentation, and (3) the application of audible sound during natural carbonation. Five different audible frequencies (20 Hz, 30 Hz, 45 Hz, 55 Hz, and 75 Hz) were applied daily for one minute each (starting from the lowest frequency) during fermentation (11 days, treatment 2) and carbonation (22 days, treatment 3). Samples were measured in triplicates using the RoboBEER to assess color and foam-related parameters. A trained panel (n = 10) evaluated the intensity of sensory descriptors. Results showed that samples with sonication treatment had significant differences in the number of small bubbles, alcohol, and viscosity compared to the control. Furthermore, except for foam texture, foam height, and viscosity, there were non-significant differences in the intensity of any sensory descriptor, according to the rating from the trained sensory panel. The use of soundwaves is a potential treatment for brewing to improve beer quality by increasing the number of small bubbles and foamability without disrupting yeast or modifying the aroma and flavor profile. View Full-Text
Keywords: foamability; audible sound; brewing; carbonation; fermentation foamability; audible sound; brewing; carbonation; fermentation
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MDPI and ACS Style

Gonzalez Viejo, C.; Fuentes, S.; Torrico, D.D.; Lee, M.H.; Hu, Y.Q.; Chakraborty, S.; Dunshea, F.R. The Effect of Soundwaves on Foamability Properties and Sensory of Beers with a Machine Learning Modeling Approach. Beverages 2018, 4, 53.

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