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Optimization of ethanol production from mango peels using response surface methodology

This study aims to optimize bioethanol production from mango peels using Response Surface Methodology (RSM). The effect of temperature (25�40oC), yeast concentration (6�14 g/ml) and fermentation time (48�96 hours) on bioethanol yield was investigated. Prior to the fermentation process, mango p...

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Main Authors: Abdul Ghani, M.R., Ching Peiching, O.P.
Format: Article
Published: Trans Tech Publications Ltd 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937194001&doi=10.4028%2fwww.scientific.net%2fAMM.625.766&partnerID=40&md5=a28f18e4aae590c6c0a2a71cc86aa956
http://eprints.utp.edu.my/31744/
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spelling my.utp.eprints.317442022-03-29T03:36:23Z Optimization of ethanol production from mango peels using response surface methodology Abdul Ghani, M.R. Ching Peiching, O.P. This study aims to optimize bioethanol production from mango peels using Response Surface Methodology (RSM). The effect of temperature (25�40oC), yeast concentration (6�14 g/ml) and fermentation time (48�96 hours) on bioethanol yield was investigated. Prior to the fermentation process, mango peels were treated with 0.25�1 (w/v) sulphuric acid. Optimum glucose yield was obtained at 0.25 (w/v) sulphuric acid. RSM using 3-factor 2-level central composite design (CCD) was employed to evaluate and optimize the synthesis parameters. Based on numerical optimization, the optimum fermentation conditions were at 38oC using 6 g/ml yeast for 48 hours, giving a yield of 7.34 g/ml bioethanol. © 2014 Trans Tech Publications, Switzerland. Trans Tech Publications Ltd 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937194001&doi=10.4028%2fwww.scientific.net%2fAMM.625.766&partnerID=40&md5=a28f18e4aae590c6c0a2a71cc86aa956 Abdul Ghani, M.R. and Ching Peiching, O.P. (2014) Optimization of ethanol production from mango peels using response surface methodology. Applied Mechanics and Materials, 625 . pp. 766-769. http://eprints.utp.edu.my/31744/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description This study aims to optimize bioethanol production from mango peels using Response Surface Methodology (RSM). The effect of temperature (25�40oC), yeast concentration (6�14 g/ml) and fermentation time (48�96 hours) on bioethanol yield was investigated. Prior to the fermentation process, mango peels were treated with 0.25�1 (w/v) sulphuric acid. Optimum glucose yield was obtained at 0.25 (w/v) sulphuric acid. RSM using 3-factor 2-level central composite design (CCD) was employed to evaluate and optimize the synthesis parameters. Based on numerical optimization, the optimum fermentation conditions were at 38oC using 6 g/ml yeast for 48 hours, giving a yield of 7.34 g/ml bioethanol. © 2014 Trans Tech Publications, Switzerland.
format Article
author Abdul Ghani, M.R.
Ching Peiching, O.P.
spellingShingle Abdul Ghani, M.R.
Ching Peiching, O.P.
Optimization of ethanol production from mango peels using response surface methodology
author_facet Abdul Ghani, M.R.
Ching Peiching, O.P.
author_sort Abdul Ghani, M.R.
title Optimization of ethanol production from mango peels using response surface methodology
title_short Optimization of ethanol production from mango peels using response surface methodology
title_full Optimization of ethanol production from mango peels using response surface methodology
title_fullStr Optimization of ethanol production from mango peels using response surface methodology
title_full_unstemmed Optimization of ethanol production from mango peels using response surface methodology
title_sort optimization of ethanol production from mango peels using response surface methodology
publisher Trans Tech Publications Ltd
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937194001&doi=10.4028%2fwww.scientific.net%2fAMM.625.766&partnerID=40&md5=a28f18e4aae590c6c0a2a71cc86aa956
http://eprints.utp.edu.my/31744/
_version_ 1738657290411573248
score 13.160551

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