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

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^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

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.

Original language	English
Article number	125892
Journal	Bioresource Technology
Volume	341
DOIs	https://doi.org/10.1016/j.biortech.2021.125892
Publication status	Published - Dec 2021
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Ltd

ASJC Scopus Subject Areas

Bioengineering
Environmental Engineering
Renewable Energy, Sustainability and the Environment
Waste Management and Disposal

Keywords

Biomass growth
Colour acquisition
Colour model
Culture medium
Dairy waste

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.biortech.2021.125892

Cite this

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title = "Cultivation of Chlorella vulgaris on dairy waste using vision imaging for biomass growth monitoring",

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",

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doi = "10.1016/j.biortech.2021.125892",

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AU - Peter, Angela Paul

AU - Chew, Kit Wayne

AU - Koyande, Apurav Krishna

AU - Yuk-Heng, Sia

AU - Ting, Huong Yong

AU - Rajendran, Saravanan

AU - Munawaroh, Heli Siti Halimatul

AU - Yoo, Chang Kyoo

AU - Show, Pau Loke

PY - 2021/12

Y1 - 2021/12

N2 - 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.

AB - 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.

KW - Biomass growth

KW - Colour acquisition

KW - Colour model

KW - Culture medium

KW - Dairy waste

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

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

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