Enzyme-Based Pulp Bleaching of Pineapple Leaf Fiber Using Crude Laccase from Marasmiellus palmivorus
The use of non-wood fiber as pulp material has its own challenge especially the environmental problems caused by toxic by-product from its chemical bleaching process. Ligninolytic enzymes, such as laccase, are now used as bleaching agent as alternative bleaching technology. But, its application in n...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/21597 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | The use of non-wood fiber as pulp material has its own challenge especially the environmental problems caused by toxic by-product from its chemical bleaching process. Ligninolytic enzymes, such as laccase, are now used as bleaching agent as alternative bleaching technology. But, its application in non-wood fiber pulp needs further studies. In this research, the optimization of pulp bleaching process using crude laccase from Marasmiellus palmivorus upon pineapple leaf fiber was investigated. The research was designed using response surface method to observe the effect of enzyme dosage and reaction time on changes in kappa number, brightness, and intrinsic viscosity of the pulp. Enzymatic treatment caused a decrease in pulp kappa number with the highest decrease of 4.84 (56.94%). Enzyme dosage and reaction time affected the decrease of kappa number significantly (p<0.05) with enzyme dosage as the most significant factor (p<0.05). Enzymatic treatment also caused an increase in pulp brightness with the highest increase of 29.5%ISO (75.65%) yet both factors did not affect the increase of brightness significantly (p<0.05). A decrease in intrinsic viscosity occurred with the highest decrease of 194 mL/g (22.5%). However, both factors did not affect the decrease of viscosity significantly (p<0.05). Optimal bleaching process occurs under the conditions of highest enzyme dosage and shortest reaction time with enzyme dosage of 9.78 U/g pulp and reaction time of 2.10 hours as the best predicted condition factors. |
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