Journal
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
Volume 55, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.algal.2021.102243
Keywords
Microalgae; Image processing; Attached cultivation; Biofilm quantification; Topography reconstruction
Categories
Funding
- Korea Research Institute of Bioscience and Biotechnology (KRIBB) Research Initiative Program
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This study proposed a non-invasive technique for online biomass quantification of microbial attached growth using RGB analysis, which showed high potential and promising applications in various fields, such as wastewater treatment.
An accurate and non-invasive technique for online biomass quantification of microbial attached growth is needed. In this research, image processing through Red-Green-Blue (RGB) analysis is used to assess biomass thickness from simple macroscopic images captured from microalgal biofilms by a digital camera. The results show that the green (G) vector in images of an Ettlia sp. biofilm can estimate the biomass concentration with R2 = 0.994 through an exponential correlation. Moreover, the R2 coefficient for the biofilm thickness measurement using the G vector is 0.973, which shows the high potential of this method. Furthermore, using the mathematical correlation between the G index and the biofilm thickness, it is possible to reconstruct the 3-D topography of a microalgal biofilm and to calculate the quantitative parameters, such as biomass yield and thickness, at every specific point of the biofilm. RGB analysis can easily determine the biofilm concentration and 3-D topography with satisfactory accuracy. This is promising technique for biofilm quantification and can be used in different applications, such as wastewater treatment by moving a bed biofilm reactor (MBBR), which was formerly possible only through sophisticated techniques.
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