Optimizing of microalgae scenedesmus sp. Biomass production in wet market wastewater using response surface methodology
The present study aimed to optimize the production of Scenedesmus sp. biomass during the phycoremediation process. The biomass productivity was optimized using face centred central composite design (FCCCD) in response surface methodology (RSM) as a function of two independent variables that inclu...
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my.uthm.eprints.17602021-10-18T02:50:30Z http://eprints.uthm.edu.my/1760/ Optimizing of microalgae scenedesmus sp. Biomass production in wet market wastewater using response surface methodology Mohd Apandi, Najeeha Muhamad, Mimi Suliza Radin Mohamed, Radin Maya Saphira Mohamed Sunar, Norshuhaila Al-Gheethi, Adel Gani, Paran A. Rahman, Fahmi TD Environmental technology. Sanitary engineering The present study aimed to optimize the production of Scenedesmus sp. biomass during the phycoremediation process. The biomass productivity was optimized using face centred central composite design (FCCCD) in response surface methodology (RSM) as a function of two independent variables that included wet market wastewater concentrations (A) with a range of 10% to 75% and aeration rate (B) with a range of 0.02 to 4.0 L/min. The results revealed that the highest biomass productivity (73 mg/L/d) and maximum growth rate (1.19 day MDPI 2021 Article PeerReviewed text en http://eprints.uthm.edu.my/1760/1/J12130_2ab5b5cd6f24231b81369fbe92d2e06a.pdf Mohd Apandi, Najeeha and Muhamad, Mimi Suliza and Radin Mohamed, Radin Maya Saphira and Mohamed Sunar, Norshuhaila and Al-Gheethi, Adel and Gani, Paran and A. Rahman, Fahmi (2021) Optimizing of microalgae scenedesmus sp. Biomass production in wet market wastewater using response surface methodology. Sustainability, 13 (2216). pp. 3-19. https://doi.org/10.3390/su13042216 |
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TD Environmental technology. Sanitary engineering Mohd Apandi, Najeeha Muhamad, Mimi Suliza Radin Mohamed, Radin Maya Saphira Mohamed Sunar, Norshuhaila Al-Gheethi, Adel Gani, Paran A. Rahman, Fahmi Optimizing of microalgae scenedesmus sp. Biomass production in wet market wastewater using response surface methodology |
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The present study aimed to optimize the production of Scenedesmus sp. biomass during
the phycoremediation process. The biomass productivity was optimized using face centred central
composite design (FCCCD) in response surface methodology (RSM) as a function of two independent
variables that included wet market wastewater concentrations (A) with a range of 10% to 75% and
aeration rate (B) with a range of 0.02 to 4.0 L/min. The results revealed that the highest biomass
productivity (73 mg/L/d) and maximum growth rate (1.19 day |
format |
Article |
author |
Mohd Apandi, Najeeha Muhamad, Mimi Suliza Radin Mohamed, Radin Maya Saphira Mohamed Sunar, Norshuhaila Al-Gheethi, Adel Gani, Paran A. Rahman, Fahmi |
author_facet |
Mohd Apandi, Najeeha Muhamad, Mimi Suliza Radin Mohamed, Radin Maya Saphira Mohamed Sunar, Norshuhaila Al-Gheethi, Adel Gani, Paran A. Rahman, Fahmi |
author_sort |
Mohd Apandi, Najeeha |
title |
Optimizing of microalgae scenedesmus sp. Biomass production
in wet market wastewater using response surface
methodology |
title_short |
Optimizing of microalgae scenedesmus sp. Biomass production
in wet market wastewater using response surface
methodology |
title_full |
Optimizing of microalgae scenedesmus sp. Biomass production
in wet market wastewater using response surface
methodology |
title_fullStr |
Optimizing of microalgae scenedesmus sp. Biomass production
in wet market wastewater using response surface
methodology |
title_full_unstemmed |
Optimizing of microalgae scenedesmus sp. Biomass production
in wet market wastewater using response surface
methodology |
title_sort |
optimizing of microalgae scenedesmus sp. biomass production
in wet market wastewater using response surface
methodology |
publisher |
MDPI |
publishDate |
2021 |
url |
http://eprints.uthm.edu.my/1760/1/J12130_2ab5b5cd6f24231b81369fbe92d2e06a.pdf http://eprints.uthm.edu.my/1760/ https://doi.org/10.3390/su13042216 |
_version_ |
1738580901891145728 |
score |
13.209306 |