000 04402ntm a2200361 i 4500
001 vtls000105481
003 KUKTEM
005 20251117113410.0
008 190218t20182018my a f am 000 0 eng d
020 _aTHE0000898(Local)
039 9 _a201905271508
_bnazirah
_y201902181026
_znazri
040 _aUMP
_beng
_cUMP
_erda
090 _aFKKSA .H35 2018 r Thesis
100 0 _aSiti Hajar Mat Zani,
_eauthor.
245 1 0 _aOptimization of bioethanol from oil palm frond juice by using saccharomyces cerevisiae /
_cSiti Hajar Mat Zani
264 1 _aKuantan, Pahang :
_bUMP,
_c2018
264 4 _c© 2018
300 _axiv, 97 pages :
_billustrations ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer disc
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Chemical and Natural Resources Engineering
502 _aThesis (Degree of Master of Engineering (Bioprocess)) -- Universiti Malaysia Pahang – 2018
504 _aIncludes bibliographical references
520 3 _aConsidered to be the environmental-friendly liquid fuel, bioethanol can be a reliable renewable source of energy to substitute fossil fuels. Bioethanol fermentation became an ongoing interest among researcher to find out ways to produce an alternative energy by microbial fermentation in which can be produced by direct fermentation of sugar components of plant materials. This study focused on the utilization of oil palm frond (OPF) juice as sustainable source of fermentation products as it’s have high sugar contents and easily obtained daily in Malaysia. OPF juice was used as the carbon source for the effective bioethanol production by the yeast Saccharomyces cerevisiae Kyokai No. 7 (ATCC 26622). Based on the sugar analysis using High Performance Liquid Chromatography (HPLC), it showed that the total sugars concentration in OPF juice used throughout the study was 56.87 g/L. In order to further evaluate the best condition of parameters which affecting the production of bioethanol, investigation on the effect of temperature, medium initial pH and agitation speed was carried out by using One-Factor-At-Time (OFAT) method. This was followed by optimizing the fermentation process of bioethanol production using response surface methodology (RSM) to explore the response pattern and accurate values of the fermentation parameters. A five-level-three-factor central composite design (CCD) was attempted in this study and the central point of each process variable was chosen based on the best condition obtained from the OFAT method. The parameters range were set as follows; medium initial pH (5-9), temperature (27.5-37.5°C), and agitation speed (80-120 rpm). Bioethanol and residual sugars concentration were determined by using HPLC analysis. The optimum conditions for bioethanol production were proposed to be medium initial pH (6.60), temperature (33°C) and agitation speed (96 rpm). Based on the validation experiment, the optimum bioethanol yield was 0.50 ±0.02 g/ g sugars and this value was in close agreement with the model prediction where the difference was only 4.17%. Under the optimal conditions, the bioethanol yield obtained was 47.06% higher compared with non-optimized condition. Repeated batch of bioethanol production was carried out at larger scale by using 2-L bioreactor to study the performance of S. cerevisiae for long term experiment to mimic a long term industrial bioethanol production process. For the repeated batch experiment, results showed that highest bioethanol yield at agitation speed of 50 rpm, drain (fermentation broth) and fill (fresh OPF juice) volume at 75% and ten cycles of repeated batch. The average bioethanol yield of ten successive batches at 75% drain and fill volume were 0.41 g/ g sugars. As a conclusion, the present research has shown that OPF juice is promising to be used as a renewable and complete fermentation feedstock for bioethanol production to support the biotechnology industry.
610 2 0 _aFaculty of Chemical and Natural Resources Engineering
_xDissertations
650 0 _aUniversities and colleges
_xDisertations
650 0 _aTheses
999 _aVIRTUA40
_c7974
_d7980
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2640*2641*3000*3360*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992