Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology

The extraction of oil from biomass is one of the most important aspects in the harvesting of microalgae for the production of oil. Efficient extraction technique is important for the quantification of oil content in biomass. Solvent extraction is typically employed for the extraction of oil. Acceler...

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Main Authors: Ahmad, Farah, Zhang, Zhanying, Doherty, William O. S., O'Hara, Ian M.
Format: Article
Language:English
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Published: Taylor's University 2018
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http://irep.iium.edu.my/59677/14/Letter%20of%20Acceptance_13_04_18_FARAH%20%20et%20al.pdf
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spelling my.iium.irep.596772018-07-24T00:52:58Z http://irep.iium.edu.my/59677/ Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology Ahmad, Farah Zhang, Zhanying Doherty, William O. S. O'Hara, Ian M. TP155 Chemical engineering TP315 Fuel TP368 Food processing and manufacture TP670 Oils, fats, waxes The extraction of oil from biomass is one of the most important aspects in the harvesting of microalgae for the production of oil. Efficient extraction technique is important for the quantification of oil content in biomass. Solvent extraction is typically employed for the extraction of oil. Accelerated Solvent Extraction (ASE) is an automated pressurised liquid extraction technique that provides rapid and effective extraction process. There are limited studies on the effects of extraction conditions using the ASE technique to achieve optimum oil yield. The aim of this study was to optimise the extraction of oil using the ASE technique by response surface methodology. A face-centred central composite design (CCD) was used to evaluate the effects of static cycle (1 to 6 cycles), static time (2 to 10 min) and temperature (100 to 160 °C) on oil extraction. The optimum condition was found to be at 4 static cycles, static time of 6 min and temperature of 160 °C, with an oil yield of 34.9%. From the ANOVA results, R2 of the mathematical model is 0.9970. This study showed an improvement in the oil yield using the optimum condition for ASE, where the optimum condition resulted in 1.34 fold increases in oil yield from the control run. Taylor's University 2018-04-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/59677/3/Gmail%20-%20Review%20process%20is%20completed%20%28CE16_001%29.pdf application/pdf en http://irep.iium.edu.my/59677/14/Letter%20of%20Acceptance_13_04_18_FARAH%20%20et%20al.pdf application/pdf en http://irep.iium.edu.my/59677/20/59677_Optimising%20extraction%20of%20microalgal%20oil%20using%20accelerated%20solvent%20extraction%20by%20response%20surface%20methodology.pdf application/pdf en http://irep.iium.edu.my/59677/21/59677_Optimising%20extraction%20of%20microalgal%20oil%20using%20accelerated%20solvent%20extraction%20by%20response%20surface%20methodology_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/59677/22/59677_Optimising%20extraction%20of%20microalgal%20oil%20using%20accelerated%20solvent%20extraction%20by%20response%20surface%20methodology_WoS.pdf Ahmad, Farah and Zhang, Zhanying and Doherty, William O. S. and O'Hara, Ian M. (2018) Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology. Journal of Engineering Science and Technology, 13 (4). pp. 964-976. ISSN 1823-4690 http://jestec.taylors.edu.my/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
English
English
topic TP155 Chemical engineering
TP315 Fuel
TP368 Food processing and manufacture
TP670 Oils, fats, waxes
spellingShingle TP155 Chemical engineering
TP315 Fuel
TP368 Food processing and manufacture
TP670 Oils, fats, waxes
Ahmad, Farah
Zhang, Zhanying
Doherty, William O. S.
O'Hara, Ian M.
Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology
description The extraction of oil from biomass is one of the most important aspects in the harvesting of microalgae for the production of oil. Efficient extraction technique is important for the quantification of oil content in biomass. Solvent extraction is typically employed for the extraction of oil. Accelerated Solvent Extraction (ASE) is an automated pressurised liquid extraction technique that provides rapid and effective extraction process. There are limited studies on the effects of extraction conditions using the ASE technique to achieve optimum oil yield. The aim of this study was to optimise the extraction of oil using the ASE technique by response surface methodology. A face-centred central composite design (CCD) was used to evaluate the effects of static cycle (1 to 6 cycles), static time (2 to 10 min) and temperature (100 to 160 °C) on oil extraction. The optimum condition was found to be at 4 static cycles, static time of 6 min and temperature of 160 °C, with an oil yield of 34.9%. From the ANOVA results, R2 of the mathematical model is 0.9970. This study showed an improvement in the oil yield using the optimum condition for ASE, where the optimum condition resulted in 1.34 fold increases in oil yield from the control run.
format Article
author Ahmad, Farah
Zhang, Zhanying
Doherty, William O. S.
O'Hara, Ian M.
author_facet Ahmad, Farah
Zhang, Zhanying
Doherty, William O. S.
O'Hara, Ian M.
author_sort Ahmad, Farah
title Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology
title_short Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology
title_full Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology
title_fullStr Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology
title_full_unstemmed Optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology
title_sort optimising extraction of microalgal oil using accelerated solvent extraction by response surface methodology
publisher Taylor's University
publishDate 2018
url http://irep.iium.edu.my/59677/3/Gmail%20-%20Review%20process%20is%20completed%20%28CE16_001%29.pdf
http://irep.iium.edu.my/59677/14/Letter%20of%20Acceptance_13_04_18_FARAH%20%20et%20al.pdf
http://irep.iium.edu.my/59677/20/59677_Optimising%20extraction%20of%20microalgal%20oil%20using%20accelerated%20solvent%20extraction%20by%20response%20surface%20methodology.pdf
http://irep.iium.edu.my/59677/21/59677_Optimising%20extraction%20of%20microalgal%20oil%20using%20accelerated%20solvent%20extraction%20by%20response%20surface%20methodology_SCOPUS.pdf
http://irep.iium.edu.my/59677/22/59677_Optimising%20extraction%20of%20microalgal%20oil%20using%20accelerated%20solvent%20extraction%20by%20response%20surface%20methodology_WoS.pdf
http://irep.iium.edu.my/59677/
http://jestec.taylors.edu.my/
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