Optimization of enzymatic pretreatment and saccharification processes of sawdust for bioethanol production / Amani Mohammad Ahmed Hashabra

By: Material type: TextTextPublisher: Kuantan, Pahang : UMP, 2018Copyright date: © 2018Description: xv, 132 pages : illustrations (some color) ; 30 cm. + 1 CD-ROMContent type:
  • text
Media type:
  • unmediated
  • computer
Carrier type:
  • volume
  • computer disc
ISBN:
  • THE0000150(Local)
Subject(s): Dissertation note: Thesis (Master of Science) -- Universiti Malaysia Pahang – 2018 Abstract: widespread interest has been devoted to the production of ethanol from sustainable renewable materials to compensate for the impending fossil fuel crisis. Lignocellulosic biomasses, such as sawdust and others, are an attractive, abundant, cheap and non-food competitive biomass feedstock for cheaper ethanol production. However, the recalcitrant structure of these materials necessitates a pretreatment process for a complete or partial breakdown of the lignin in the cell wall of these biomasses. Most of the pretreatment techniques require the use of chemicals and energy which poses a threat to the environment and the whole process as well. This study embarked on a statistical optimization of the pretreatment and saccharification processes of sawdust for bioethanol production in an environmentally-friendly manner. The study process involved the screening of the process parameters using One-Factor-At-a-Time (OFAT) to determine the optimum range and significance of each parameter in the was evaluated for bioethanol production using Saccharomyces cerevisiae as the fermentation organism. The bioethanol yield based on the total sugar content and biomass content was achieved as 29.4% (w/v) and 9.78% (w/v), respectively. These enzymatic pretreatment and saccharification processes can be considered as one of the renewable efforts towards reducing greenhouse gas emissions and environmental protection from global warming.
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Item type Current library Call number Copy number Status Date due Barcode
Thesis Thesis UMPLIB GAMBANG FIST .H37 2018 r Thesis (Browse shelf(Opens below)) 1 Not for loan 0000126560
Thesis Thesis UMPLIB GAMBANG CD 11533 | FIST .H37 2018 r Thesis (Browse shelf(Opens below)) 1 Not for loan 0000126561

Faculty of Industrial Sciences and Technology

Thesis (Master of Science) -- Universiti Malaysia Pahang – 2018

Includes bibliographical references

widespread interest has been devoted to the production of ethanol from sustainable renewable materials to compensate for the impending fossil fuel crisis. Lignocellulosic biomasses, such as sawdust and others, are an attractive, abundant, cheap and non-food competitive biomass feedstock for cheaper ethanol production. However, the recalcitrant structure of these materials necessitates a pretreatment process for a complete or partial breakdown of the lignin in the cell wall of these biomasses. Most of the pretreatment techniques require the use of chemicals and energy which poses a threat to the environment and the whole process as well. This study embarked on a statistical optimization of the pretreatment and saccharification processes of sawdust for bioethanol production in an environmentally-friendly manner. The study process involved the screening of the process parameters using One-Factor-At-a-Time (OFAT) to determine the optimum range and significance of each parameter in the was evaluated for bioethanol production using Saccharomyces cerevisiae as the fermentation organism. The bioethanol yield based on the total sugar content and biomass content was achieved as 29.4% (w/v) and 9.78% (w/v), respectively. These enzymatic pretreatment and saccharification processes can be considered as one of the renewable efforts towards reducing greenhouse gas emissions and environmental protection from global warming.

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