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

doi:10.1016/j.biortech.2021.125892

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

Bioresour Technol. 2021 Dec:341:125892. doi: 10.1016/j.biortech.2021.125892. Epub 2021 Sep 8.

Authors

Angela Paul Peter¹, Kit Wayne Chew², Apurav Krishna Koyande¹, Sia Yuk-Heng³, Huong Yong Ting³, Saravanan Rajendran⁴, Heli Siti Halimatul Munawaroh⁵, Chang Kyoo Yoo⁶, Pau Loke Show⁷

Affiliations

¹ Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia.
² School of Energy and Chemical Engineering, Xiamen University Malaysia, Jalan Sunsuria, Bandar Sunsuria, 43900 Sepang, Selangor, Malaysia; College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, Fujian, China.
³ School of Computing and Creative Media, University College of Technology Sarawak, Sarawak, Malaysia.
⁴ Department of Mechanical Engineering, Faculty of Engineering, University of Tarapacá, Avda 8 General Velásquez 1775, Arica, Chile.
⁵ Study Program of Chemistry, Department of Chemistry Education, Faculty of Mathematics and Science Education, Universitas Pendidikan Indonesia, Bandung 40154, Indonesia.
⁶ Integrated Engineering Department of Environmental Science and Engineering, College of Engineering Kyung Hee University-Global Campus, 1732 Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea.
⁷ Department of Chemical and Environmental Engineering, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor Darul Ehsan, Malaysia. Electronic address: PauLoke.Show@nottingham.edu.my.

PMID: 34523555
DOI: 10.1016/j.biortech.2021.125892

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.

Keywords: Biomass growth; Colour acquisition; Colour model; Culture medium; Dairy waste.

MeSH terms

Biomass
Chlorella vulgaris*
Culture Media
Industrial Waste
Lipids
Microalgae*
Wastewater

Substances

Culture Media
Industrial Waste
Lipids
Waste Water