000			03008nam a2200289 a 4500
001			vtls000097819
003			KUKTEM
005			20251117113334.0
008			160920t2016 my da f ah 000 0 eng|d
020			_aTHE0000958(Local)
039		9	_a201905271055 _bnazirah _c201710161432 _daishah _y201609201012 _zsafura
040			_aUMP
090			_aFKKSA .N38 2016 r Thesis
100	1		_aSiti Natrah Binti Ismail
245	1	0	_aMechanical extraction of ferulic acid from banana stem waste
260			_aKuantan, Pahang : _bUMP , _c2016
300			_axvii, 118 p. : _bill. ; _c30 cm. + _e1 CD ROM
500			_aFaculty of Chemical and Natural Resources Engineering
502			_aThesis (Master of Engineering (Bioprocess) -- Universiti Malaysia Pahang – 2016
504			_aBibliography : p. 85 - 101
520	3		_aThe present of ferulic acid (FA) in plants attract the attention of many researchers, especially in food, pharmaceutical and cosmetic industries. Banana stem waste (BSW) was generated from banana plantation. In this study, FA was extracted from BSW by using sugarcane press machine. There were three objectives in this study. The first objective was to characterize the compositions of BSW and extracted BSW juice (EBJ). The characterization of BSW was done based on the compositions of moisture, lignin, cellulose and hemicellulose. For the EBJ, it was characterized based on the compositions of total phenolic and glucose. The second objective was to analyze factors affecting FA extraction from BSW. In factorial analysis, there were five factors were selected based on the preliminary study. The factors were part of stem, ultraviolet (UV) light pre-treatment, pre-treatment temperature, cycle of extraction and storage time of EBJ. Design Expert software was used for the experimental design. Two-level factorial design was applied for the factorial analysis. The FA was analyzed by using high performance liquid chromatography (HPLC). The third objective was to optimize the extraction of FA from BSW. The experimental table for the optimization was constructed by using central composite design (CCD). There were two factors chosen from the factorial analysis which were pre-treatment temperature and storage time of EBJ. The suggested optimum conditions that obtained during optimization were validated by using validation experiment at pre-treatment temperature 25 °C and storage time of EBJ at 24 h. The result that obtained concluded that the optimum FA yield was obtained at the suggested conditions. Therefore, the application of Design Expert software wascapable to obtain the optimum conditions and to improve the extraction of FA
610	2	0	_aFaculty of Chemical and Natural Resources Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
856	4	0	_uhttp://ecollib.ump.edu.my/3522/ _zLibrary access only
999			_aVIRTUA40 _c7011 _d7017
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