A non-destructive digital imaging method to predict immobilized yeast-biomass
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Date
2009
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Abstract
In food fermentation, many types of immobilization systems are used, such as hydrogel entrapment, where alginate is the main biopolymer. one of the important problems in industrial processes is the quantifications of biomass, since the traditional system of direct cell counting cannot be used. In this study, a simple digital imaging method to determine the biomass of yeasts immobilized into alginate capsules was developed. Important evidence of the yeasts growing inside the alginate was the change in the surface color of the capsule. Digital images were taken with different biomass concentration, and the RGB-analysis showed significant differences in the blue field. The histogram of the blue channel was used to develop a PLS multivariate calibration to predict biomass concentration. The method was validated in primary beer fermentation with good efficiency. (C) 2009 Elsevier Ltd. All rights reserved.
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Keywords
Immobilization, Alginate, RGB, Digital images, Image analysis, Yeast, Multivariate calibration, PRIMARY BEER FERMENTATION, DARK-FIELD MICROSCOPY, CELLS, COLOR