Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology

In oil palm industry, large quantity of oil palm trunk (OPT) and palm oil mill effluent (POME) are generated. These residues are not fully utilised. They are served as wastes, which lead to serious environmental pollution. Realising that OPT sap contains high glucose concentration while POME contain...

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Main Authors: Samsudin, M. D. M., Don, M. M., Ibrahim, N., Kasmani, R. M., Zakaria, Z., Kamarudin, K. S.
Format: Article
Published: Italian Association of Chemical Engineering - AIDIC 2017
Subjects:
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author Samsudin, M. D. M.
Don, M. M.
Ibrahim, N.
Kasmani, R. M.
Zakaria, Z.
Kamarudin, K. S.
author_facet Samsudin, M. D. M.
Don, M. M.
Ibrahim, N.
Kasmani, R. M.
Zakaria, Z.
Kamarudin, K. S.
author_sort Samsudin, M. D. M.
collection ePrints
description In oil palm industry, large quantity of oil palm trunk (OPT) and palm oil mill effluent (POME) are generated. These residues are not fully utilised. They are served as wastes, which lead to serious environmental pollution. Realising that OPT sap contains high glucose concentration while POME contains essential nutrients required by microorganisms for growth, in this study, bioethanol was produced from OPT sap and POME by Saccharomyces cerevisiae in shake flasks culture. OPT sap was used as carbon source, and POME was utilised as nutrient supplier for the fermentation process. To obtain the optimum ratio of OPT sap to POME, inoculum size, initial pH, and incubation time for maximum bioethanol yield, response surface methodology (RSM) via face centred central composite design (FCCCD) was employed. The experimental data for glucose consumption, bioethanol yield, and biomass growth were fitted to polynomial equations and analysed. The quadratic models were employed to fit the data. The optimum bioethanol fermentation conditions were as follows: OPT sap to POME ratio of 63 : 37, inoculum size of 4.3 vol%, initial pH of 8.0, and incubation time of 118 h. Under these conditions, the expected bioethanol yield is 0.453 g/g. To evaluate the accuracy and validate the results, five additional runs were carried out at the optimum point. It was found that the range of bioethanol yield within 95 % confidence level was 0.448 - 0.457. It can be concluded that there is no difference between the experimental values and the predicted data within 95 % confidence level since the predicted data were within the range.
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spelling utm.eprints-755072018-03-29T00:46:07Z http://eprints.utm.my/75507/ Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology Samsudin, M. D. M. Don, M. M. Ibrahim, N. Kasmani, R. M. Zakaria, Z. Kamarudin, K. S. TP Chemical technology In oil palm industry, large quantity of oil palm trunk (OPT) and palm oil mill effluent (POME) are generated. These residues are not fully utilised. They are served as wastes, which lead to serious environmental pollution. Realising that OPT sap contains high glucose concentration while POME contains essential nutrients required by microorganisms for growth, in this study, bioethanol was produced from OPT sap and POME by Saccharomyces cerevisiae in shake flasks culture. OPT sap was used as carbon source, and POME was utilised as nutrient supplier for the fermentation process. To obtain the optimum ratio of OPT sap to POME, inoculum size, initial pH, and incubation time for maximum bioethanol yield, response surface methodology (RSM) via face centred central composite design (FCCCD) was employed. The experimental data for glucose consumption, bioethanol yield, and biomass growth were fitted to polynomial equations and analysed. The quadratic models were employed to fit the data. The optimum bioethanol fermentation conditions were as follows: OPT sap to POME ratio of 63 : 37, inoculum size of 4.3 vol%, initial pH of 8.0, and incubation time of 118 h. Under these conditions, the expected bioethanol yield is 0.453 g/g. To evaluate the accuracy and validate the results, five additional runs were carried out at the optimum point. It was found that the range of bioethanol yield within 95 % confidence level was 0.448 - 0.457. It can be concluded that there is no difference between the experimental values and the predicted data within 95 % confidence level since the predicted data were within the range. Italian Association of Chemical Engineering - AIDIC 2017 Article PeerReviewed Samsudin, M. D. M. and Don, M. M. and Ibrahim, N. and Kasmani, R. M. and Zakaria, Z. and Kamarudin, K. S. (2017) Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology. Chemical Engineering Transactions, 56 . pp. 1579-1584. ISSN 2283-9216 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019458456&doi=10.3303%2fCET1756264&partnerID=40&md5=42c86e44dd409be97b19021e08342132
spellingShingle TP Chemical technology
Samsudin, M. D. M.
Don, M. M.
Ibrahim, N.
Kasmani, R. M.
Zakaria, Z.
Kamarudin, K. S.
Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology
title Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology
title_full Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology
title_fullStr Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology
title_full_unstemmed Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology
title_short Batch fermentation of bioethanol from the residues of elaeis guineensis: Optimisation using response surface methodology
title_sort batch fermentation of bioethanol from the residues of elaeis guineensis optimisation using response surface methodology
topic TP Chemical technology
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