The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan

This paper reports on the effects of carbon dioxide (CO2) concentration and agitation rate on microalgae growth in medium based on the effluent of the biogas plant of Felda Sg. Tengi Palm Oil Mill supplemented with palm oil mill effluent (POME) from their first facultative pond. Two variables whi...

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Main Authors: Salihon, Jailani, Mohd Hassan, Meor Ahmad Faez
Format: Article
Language:English
Published: Universiti Teknologi MARA Shah Alam 2018
Subjects:
Online Access:http://ir.uitm.edu.my/id/eprint/37499/1/37499.pdf
http://ir.uitm.edu.my/id/eprint/37499/
https://mjcetfkk.uitm.edu.my/
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Institution: Universiti Teknologi Mara
Language: English
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spelling my.uitm.ir.374992020-11-20T06:57:00Z http://ir.uitm.edu.my/id/eprint/37499/ The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan Salihon, Jailani Mohd Hassan, Meor Ahmad Faez Analytical chemistry Biotechnology Algal biotechnology This paper reports on the effects of carbon dioxide (CO2) concentration and agitation rate on microalgae growth in medium based on the effluent of the biogas plant of Felda Sg. Tengi Palm Oil Mill supplemented with palm oil mill effluent (POME) from their first facultative pond. Two variables which are CO2 concentration (X1) and agitation rate (X2) are used to optimise the microalgae growth using a 22 factorial design which was complemented to make a composite design. The linear regression model was used to analyse the results of the 22 factorial experiment and determine whether it contains the maximum point. The quadratic regression model was used to analyse the results of the composite design experiments and optimise the microalgae growth based on maximum biomass concentration (xm). The theoretical maximum point for xm from the quadratic regression model was predicted to be at 16.03% CO2 concentration and 0.9 vvm agitation with the theoretical maximum xm predicted to be 42.6158 g/l. Universiti Teknologi MARA Shah Alam 2018 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/37499/1/37499.pdf Salihon, Jailani and Mohd Hassan, Meor Ahmad Faez (2018) The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan. Malaysian Journal of Chemical Engineering and Technology (MJCET), 1. pp. 45-50. ISSN 2682-8588 https://mjcetfkk.uitm.edu.my/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Analytical chemistry
Biotechnology
Algal biotechnology
spellingShingle Analytical chemistry
Biotechnology
Algal biotechnology
Salihon, Jailani
Mohd Hassan, Meor Ahmad Faez
The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan
description This paper reports on the effects of carbon dioxide (CO2) concentration and agitation rate on microalgae growth in medium based on the effluent of the biogas plant of Felda Sg. Tengi Palm Oil Mill supplemented with palm oil mill effluent (POME) from their first facultative pond. Two variables which are CO2 concentration (X1) and agitation rate (X2) are used to optimise the microalgae growth using a 22 factorial design which was complemented to make a composite design. The linear regression model was used to analyse the results of the 22 factorial experiment and determine whether it contains the maximum point. The quadratic regression model was used to analyse the results of the composite design experiments and optimise the microalgae growth based on maximum biomass concentration (xm). The theoretical maximum point for xm from the quadratic regression model was predicted to be at 16.03% CO2 concentration and 0.9 vvm agitation with the theoretical maximum xm predicted to be 42.6158 g/l.
format Article
author Salihon, Jailani
Mohd Hassan, Meor Ahmad Faez
author_facet Salihon, Jailani
Mohd Hassan, Meor Ahmad Faez
author_sort Salihon, Jailani
title The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan
title_short The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan
title_full The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan
title_fullStr The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan
title_full_unstemmed The optimisation of microalgae growth in medium based on palm oil mill effluent (POME) from effluent of biogas plant of Felda Sg. Tengi palm oil mill / Jailani Salihon and Meor Ahmad Faez Mohd Hassan
title_sort optimisation of microalgae growth in medium based on palm oil mill effluent (pome) from effluent of biogas plant of felda sg. tengi palm oil mill / jailani salihon and meor ahmad faez mohd hassan
publisher Universiti Teknologi MARA Shah Alam
publishDate 2018
url http://ir.uitm.edu.my/id/eprint/37499/1/37499.pdf
http://ir.uitm.edu.my/id/eprint/37499/
https://mjcetfkk.uitm.edu.my/
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