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dc.contributor.authorMuaz, Mohd Zaini
dc.date.accessioned2013-08-27T09:04:35Z
dc.date.available2013-08-27T09:04:35Z
dc.date.issued2012-06
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/27743
dc.descriptionAccess is limited to UniMAP community.en_US
dc.description.abstractBiomass is becoming an increasingly popular source for alternative energy. The alternative energy is bioethanol that can be produced through fermentation of glucose from the starch source of bitter cassava. In order to be fermented into the bioethanol, starch must be brake down into the glucose. It involving gelatinization, liquefaction, saccharification and fermentation processes to produce the bioethanol production. There are four parameters that effected for the bioethanol production which are enzyme and substrate concentration, temperature and pH. In this project the enzyme and substrate concentration had been constant to 30 % starch, 0.25 % α- amylase and 0.15 % amyloglucosidase enzyme. The aim of this research is to optimize bioethanol production from the bitter cassava based on the condition of simultaneous saccharification and fermentation which are temperature and pH. So only these two parameters are control to study the effect of interaction between the two parameters. The research was done by using Central Composite Design (CCD) under Response Surface Method (RSM). For the optimization process, the design contains a total of 19 experimental runs involving replication of central points and in a randomized factorial design. From the analysis of variance (ANOVA) using quadratic polynomial equation, maximum bioethanol concentration was obtained was 41.087 mg/L by using the combination temperature 30oC and pH of 4.5.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.subjectBioethanolen_US
dc.subjectBitter Cassavaen_US
dc.subjectSaccharification & Fermentation processen_US
dc.titleProduction of bioethanol from Bitter Cassava: optimization of simultaneous Saccharification & Fermentation processen_US
dc.typeLearning Objecten_US
dc.contributor.advisorMimisuraya Meor Ahmaden_US
dc.publisher.departmentSchool of Bioprocess Engineeringen_US


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