Cultivation of Chlorella vulgaris on dairy waste using vision imaging for biomass growth monitoring

Angela Paul Peter, Kit Wayne Chew, Apurav Krishna Koyande, Sia Yuk-Heng, Huong Yong Ting, Saravanan Rajendran, Heli Siti Halimatul Munawaroh, Chang Kyoo Yoo, Pau Loke Show

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


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.

Original languageBritish English
Article number125892
JournalBioresource Technology
StatePublished - Dec 2021


  • Biomass growth
  • Colour acquisition
  • Colour model
  • Culture medium
  • Dairy waste


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