Cultivation of Chlorella vulgaris on dairy waste using vision imaging for biomass growth monitoring. (December 2021) - Peter, Angela Paul
Graphical abstract: Highlights: Industrial biscuit processing waste powder, (B) to BG-11 as a source of culture medium. 40B combination yields the highest biomass concentration at 4.11 g/L. Photo-to-biomass growth estimation method for microalgae cultivation. Image-colour quantification as an alternative to UV–Vis spectrophotometer. Red, green, and blue model is the optimal colour model to monitor C. vulgaris growth. Abstract: Continuous automation of conventional industrial operations with smart technology have drawn significant attention. Firstly, the study investigates on optimizing the proportion of industrial biscuit processing waste powder, (B) substituted into BG-11 as a source of cultivation medium for the growth of C. vulgaris . Various percentages of industrial biscuit processing waste powder, (B) were substituted in the inorganic medium to analyse the algal growth and biochemical composition. The use of 40B combination was found to yield highest biomass concentration (4.11 g/L), lipid (260.44 mg/g), protein (263.93 mg/g), and carbohydrate (418.99 mg/g) content compared with all the other culture ratio combination. Secondly, the exploitation of colour acquisition was performed onto C. vulgaris growth phases, and a novel photo-to-biomass concentration estimation was conducted via image processing for three different colour model pixels. Based on linear regression analysis the red, green, blue (RGB) colour model can interpret its colour variance precisely.