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Response Surface Methodology for Biobutanol Optimization Using Locally Isolated Clostridium acetobutylicum YM1

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dc.FundingDetailsUniversiti Kebangsaan Malaysia: DPP-2013-020,�FGRS/1/2011/ST/UKM/02/2,�DLP-2013-023
dc.FundingDetailsThis research was supported by Universiti Kebangsaan Malaysia under grants FGRS/1/2011/ST/UKM/02/2, DLP-2013-023, and DPP-2013-020.
dc.citedby3
dc.contributor.affiliationsFaculty of Science and Technology
dc.contributor.affiliationsUniversiti Kebangsaan Malaysia (UKM)
dc.contributor.affiliationsTaiz University
dc.contributor.affiliationsUniversiti Sains Islam Malaysia (USIM)
dc.contributor.authorAl-Shorgani, NKNen_US
dc.contributor.authorIsa, MHMen_US
dc.contributor.authorYusoff, WMWen_US
dc.contributor.authorKalil, MSen_US
dc.contributor.authorHamid, AAen_US
dc.date.accessioned2024-05-29T03:25:30Z
dc.date.available2024-05-29T03:25:30Z
dc.date.issued2015
dc.description.abstractIn this study, response surface methodology (RSM) was applied to optimize and investigate the ability of yeast extract, CaCO3, MgSO4, and K2HPO4 to maximize biobutanol production by a novel local isolate of Clostridium acetobutylicum YM1. A central composite design was applied as the experimental design, and analysis of variance (ANOVA) was used to analyze the experimental data. A quadratic polynomial equation was obtained for biobutanol production by multiple regression analysis. ANOVA analysis showed that the model was significant (p < 0.0001), and the yeast extract, CaCO3, and MgSO4 concentrations had a significant effect on biobutanol production. However, K2HPO4 did not have a significant effect on biobutanol production. The estimated optimum combinations for biobutanol production using C. acetobutylicum YM1 were 2 g/L yeast extract, 6 g/L CaCO3, 0.1 g/L MgSO4, and 1.1 g/L K2HPO4. Subsequently, the model was validated through use of the estimated optimum conditions, which confirmed the model validity and 13.67 g/L of biobutanol was produced.en_US
dc.description.natureFinal
dc.identifier.doi10.1080/15435075.2014.895738
dc.identifier.epage1243
dc.identifier.isbn1543-5083
dc.identifier.issn1543-5075
dc.identifier.issue12
dc.identifier.scopusWOS:000357863700006
dc.identifier.scopus2-s2.0-84937044707
dc.identifier.spage1236
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84937044707&doi=10.1080%2f15435075.2014.895738&partnerID=40&md5=8462fe5687f09e25069c4ec59b0c8ebe
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/11974
dc.identifier.volume12
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofInternational Journal Of Green Energyen_US
dc.sourceWeb Of Science (ISI)
dc.subjectBiobutanolen_US
dc.subjectClostridium acetobutylicum YM1en_US
dc.subjectMedium optimizationen_US
dc.subjectResponse surface methodologyen_US
dc.subjectRenewable energyen_US
dc.titleResponse Surface Methodology for Biobutanol Optimization Using Locally Isolated Clostridium acetobutylicum YM1en_US
dc.typeArticleen_US
dspace.entity.typePublication

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