Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design

Eight local isolated bacteria strain were screened for high biobutanol production using modified Reinforced Clostridia Medium (RCM) at 37°C for 16 hours. Out of eight bacteria strain, only four strains were positive biobutanol producer. From four positive strains, UPM strain produced the highest bio...

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Main Author:	Md. Aripin, Nafizah
Format:	Thesis
Published:	2010
Subjects:	TP Chemical technology
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spelling	my-utm-ep.269682017-08-15T01:19:29Z Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design 2010 Md. Aripin, Nafizah TP Chemical technology Eight local isolated bacteria strain were screened for high biobutanol production using modified Reinforced Clostridia Medium (RCM) at 37°C for 16 hours. Out of eight bacteria strain, only four strains were positive biobutanol producer. From four positive strains, UPM strain produced the highest biobutanol (0.141 g/L), analyzed using GC, which is three times higher as compare to other three positive bacteria. The productivity UPM strain 8.75x1 O'3 highest compared to other isolated bacteria, Nafizah, S I , and S2 strains. The liquid pineapple waste contain three types of reducing sugar which approximately 123.0 g/L of glucose, 2.23 g/L of sucrose and 15.86 g/L of fructose. Sugar analyzing was important prior to screening of factor that influenced the biobutanol production because the amount of sugar in pineapple waste concentration is one of the factors to be screened. Screening of factors influenced bio butanol production by strain UPM was conducted using Design Expert Software. The experimental design consisted of 37 experiments with replication at five central points for each stage using 2-level factorial. The screening experiments were carried out in static batch culture. The significant factors influencing biobutanol production was pineapple waste concentration, pH, NH4NO3 and yeast extract with ‘Prob > F’ value was less than 0.0001. Others factors such as temperature and inoculums concentration were not significant for biobutanol production. The suggested parameters for optimal biobutanol production gave predicted value of biobutanol 0.661 g/L with 99.1 % desirability towards biobutanol production. The each variable was suggested as initial pH 4.0, temperature 30 °C, 4.0 g/L yeast extract, 1.0 g/L NH 4NO3 , 10 % (v/v) inoculums concentration and 2.5% (v/v) pineapples waste concentration. The actual value of biobutanol using suggested factors produced 0.671 g/L which was significant to the predicted value. The differences between predicted value and the actual value was only 0.02%. 2010 Thesis http://eprints.utm.my/id/eprint/26968/ masters Universiti Teknologi Malaysia, Faculty of Bioscience and Bioengineering Faculty of Bioscience and Bioengineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	TP Chemical technology
spellingShingle	TP Chemical technology Md. Aripin, Nafizah Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design
description	Eight local isolated bacteria strain were screened for high biobutanol production using modified Reinforced Clostridia Medium (RCM) at 37°C for 16 hours. Out of eight bacteria strain, only four strains were positive biobutanol producer. From four positive strains, UPM strain produced the highest biobutanol (0.141 g/L), analyzed using GC, which is three times higher as compare to other three positive bacteria. The productivity UPM strain 8.75x1 O'3 highest compared to other isolated bacteria, Nafizah, S I , and S2 strains. The liquid pineapple waste contain three types of reducing sugar which approximately 123.0 g/L of glucose, 2.23 g/L of sucrose and 15.86 g/L of fructose. Sugar analyzing was important prior to screening of factor that influenced the biobutanol production because the amount of sugar in pineapple waste concentration is one of the factors to be screened. Screening of factors influenced bio butanol production by strain UPM was conducted using Design Expert Software. The experimental design consisted of 37 experiments with replication at five central points for each stage using 2-level factorial. The screening experiments were carried out in static batch culture. The significant factors influencing biobutanol production was pineapple waste concentration, pH, NH4NO3 and yeast extract with ‘Prob > F’ value was less than 0.0001. Others factors such as temperature and inoculums concentration were not significant for biobutanol production. The suggested parameters for optimal biobutanol production gave predicted value of biobutanol 0.661 g/L with 99.1 % desirability towards biobutanol production. The each variable was suggested as initial pH 4.0, temperature 30 °C, 4.0 g/L yeast extract, 1.0 g/L NH 4NO3 , 10 % (v/v) inoculums concentration and 2.5% (v/v) pineapples waste concentration. The actual value of biobutanol using suggested factors produced 0.671 g/L which was significant to the predicted value. The differences between predicted value and the actual value was only 0.02%.
format	Thesis
qualification_level	Master's degree
author	Md. Aripin, Nafizah
author_facet	Md. Aripin, Nafizah
author_sort	Md. Aripin, Nafizah
title	Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design
title_short	Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design
title_full	Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design
title_fullStr	Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design
title_full_unstemmed	Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design
title_sort	screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design
granting_institution	Universiti Teknologi Malaysia, Faculty of Bioscience and Bioengineering
granting_department	Faculty of Bioscience and Bioengineering
publishDate	2010
_version_	1747815555117613056

Screening of factors influencing biobutanol production from pineapple waste using 2-level factorial design

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