Influenced factors in the delignification process of red meranti wood sawdust

Lignocellulosic biomass are plants that include forestry residue and agricultural residues that are mainly composed of cellulose, hemicelluloses and lignin. Red Meranti wood sawdust (RMWS) are one of lignocellulosic biomass that rich-cellulose content. To obtain cellulose, the pretreatments are ne...

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Main Authors:	S. N., Abdul Rahman, Mimi Sakinah, A. M.
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2018
Subjects:	TP Chemical technology
Online Access:	http://umpir.ump.edu.my/id/eprint/21394/ http://umpir.ump.edu.my/id/eprint/21394/ http://umpir.ump.edu.my/id/eprint/21394/1/Influenced%20factors%20in%20the%20delignification%20process-ftech-2018.pdf

id	ump-21394
recordtype	eprints
spelling	ump-213942018-06-27T02:07:14Z http://umpir.ump.edu.my/id/eprint/21394/ Influenced factors in the delignification process of red meranti wood sawdust S. N., Abdul Rahman Mimi Sakinah, A. M. TP Chemical technology Lignocellulosic biomass are plants that include forestry residue and agricultural residues that are mainly composed of cellulose, hemicelluloses and lignin. Red Meranti wood sawdust (RMWS) are one of lignocellulosic biomass that rich-cellulose content. To obtain cellulose, the pretreatments are needed to extract it from outer layer of lignin and hemicellulose by using the acid-chlorite delignification procedure aided with design of experimental from Design Expert 7.1 software. Four factors were selected in design of experiment using two level with half fraction factorial analysis were came out with total of 8 runs. The factors contributed were ratio acetic acid (AC) to RMWS (0.45 and 0.6), ratio sodium chlorite to RMWS (0.6 and 1.64), reaction time (4hr and 6hr) and temperature (55°C and 75°C). The results obtained were showed that the design model was substantial resulting with a coefficient of determination value of 0.9963. Two factors that generated the highest to the process were ratio SC to RMWS (B) and temperature (D). The percentage error between the actual and predicted value for lignin removal at 0.79% and 4.92%, which found to be less than 5%, and thus, the model was successfully validated. Universiti Malaysia Pahang 2018 Article PeerReviewed text en http://umpir.ump.edu.my/id/eprint/21394/1/Influenced%20factors%20in%20the%20delignification%20process-ftech-2018.pdf S. N., Abdul Rahman and Mimi Sakinah, A. M. (2018) Influenced factors in the delignification process of red meranti wood sawdust. Journal of Chemical Engineering and Industrial Biotechnology (JCEIB), 3. pp. 26-36. ISSN 0126-8139 http://jceib.ump.edu.my/index.php/en/volume-3-docman/71-influenced-factors-in-the-delignification-process-of-red-meranti-wood-sawdust/file
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology S. N., Abdul Rahman Mimi Sakinah, A. M. Influenced factors in the delignification process of red meranti wood sawdust
description	Lignocellulosic biomass are plants that include forestry residue and agricultural residues that are mainly composed of cellulose, hemicelluloses and lignin. Red Meranti wood sawdust (RMWS) are one of lignocellulosic biomass that rich-cellulose content. To obtain cellulose, the pretreatments are needed to extract it from outer layer of lignin and hemicellulose by using the acid-chlorite delignification procedure aided with design of experimental from Design Expert 7.1 software. Four factors were selected in design of experiment using two level with half fraction factorial analysis were came out with total of 8 runs. The factors contributed were ratio acetic acid (AC) to RMWS (0.45 and 0.6), ratio sodium chlorite to RMWS (0.6 and 1.64), reaction time (4hr and 6hr) and temperature (55°C and 75°C). The results obtained were showed that the design model was substantial resulting with a coefficient of determination value of 0.9963. Two factors that generated the highest to the process were ratio SC to RMWS (B) and temperature (D). The percentage error between the actual and predicted value for lignin removal at 0.79% and 4.92%, which found to be less than 5%, and thus, the model was successfully validated.
format	Article
author	S. N., Abdul Rahman Mimi Sakinah, A. M.
author_facet	S. N., Abdul Rahman Mimi Sakinah, A. M.
author_sort	S. N., Abdul Rahman
title	Influenced factors in the delignification process of red meranti wood sawdust
title_short	Influenced factors in the delignification process of red meranti wood sawdust
title_full	Influenced factors in the delignification process of red meranti wood sawdust
title_fullStr	Influenced factors in the delignification process of red meranti wood sawdust
title_full_unstemmed	Influenced factors in the delignification process of red meranti wood sawdust
title_sort	influenced factors in the delignification process of red meranti wood sawdust
publisher	Universiti Malaysia Pahang
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/21394/ http://umpir.ump.edu.my/id/eprint/21394/ http://umpir.ump.edu.my/id/eprint/21394/1/Influenced%20factors%20in%20the%20delignification%20process-ftech-2018.pdf
first_indexed	2023-09-18T22:31:21Z
last_indexed	2023-09-18T22:31:21Z
_version_	1777416307437731840

Influenced factors in the delignification process of red meranti wood sawdust

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