Chemical pretreatment of rice hull and coconut hull using response surface methodology

Nowadays, the demand for ruminant in the livestock industry is rapidly expanded and the demand for livestock feed supply was hardly fulfill. In this research, rice hull and coconut hull from agriculture waste was investigated. Before feed the rice hull and coconut hull to ruminant, the lignin conten...

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Main Author: Lee Rui Ying
Format: Undergraduate Final Project Report
Language:English
Published: 2018
Online Access:http://discol.umk.edu.my/id/eprint/4999/1/LEE%20RUI%20YING.pdf
http://discol.umk.edu.my/id/eprint/4999/
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spelling my.umk.eprints.49992022-05-23T18:44:46Z http://discol.umk.edu.my/id/eprint/4999/ Chemical pretreatment of rice hull and coconut hull using response surface methodology Lee Rui Ying Nowadays, the demand for ruminant in the livestock industry is rapidly expanded and the demand for livestock feed supply was hardly fulfill. In this research, rice hull and coconut hull from agriculture waste was investigated. Before feed the rice hull and coconut hull to ruminant, the lignin content within the rice hull and coconut hull were determined before and after pretreatment. Response Surface Methodology (RSM) and Central Composite Designs (CCD) helped to get the optimum condition for alkali treatments by using sodium hydroxide (NaOH) to carry out. Fourier Transform Infrared (FTIR) helped to identify the lignin content in both hulls. The interaction of 3 parameters which are NaOH concentration, contact time, and weight of sample was investigated to optimise the lignin removal percentage (%). The parameters range were NaOH (1 M to 10 M), contact time (1 hour to 12 hours), and weight of sample (0.5 g to 5.0 g). The correlation coefficient, R2 for quadratic model of rice hull lignin removal (%) was 0.8863 while for coconut hull lignin removal (%) in linear model was 0.7998 as well as 2FI model was 0.8892. Three-dimensional (3D) response surface graph and two dimensional (2D) contour plots used to find out the relationship of the variables on the lignin removal. The optimum condition for rice hull lignin removal predicted by RSM were10 M NaOH concentration, 1 hour contact time, 0.5 g sample weight with 32.45% rice hull lignin removal percentage. The optimum condition for coconut hull lignin removal predicted by RSM were10 M NaOH concentration, 12 hours contact time, 0.5 g sample weight with 59.47% coconut hull lignin removal percentage. This shows pretreated rice hull and coconut hull able to be used as an effective alternative ruminant feed. This study improved utilization of agriculture waste as well as alternative feed for gradually expands feed cost. 2018 Undergraduate Final Project Report NonPeerReviewed text en http://discol.umk.edu.my/id/eprint/4999/1/LEE%20RUI%20YING.pdf Lee Rui Ying (2018) Chemical pretreatment of rice hull and coconut hull using response surface methodology. Final Year Project thesis, Universiti Malaysia Kelantan. (Submitted)
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
language English
description Nowadays, the demand for ruminant in the livestock industry is rapidly expanded and the demand for livestock feed supply was hardly fulfill. In this research, rice hull and coconut hull from agriculture waste was investigated. Before feed the rice hull and coconut hull to ruminant, the lignin content within the rice hull and coconut hull were determined before and after pretreatment. Response Surface Methodology (RSM) and Central Composite Designs (CCD) helped to get the optimum condition for alkali treatments by using sodium hydroxide (NaOH) to carry out. Fourier Transform Infrared (FTIR) helped to identify the lignin content in both hulls. The interaction of 3 parameters which are NaOH concentration, contact time, and weight of sample was investigated to optimise the lignin removal percentage (%). The parameters range were NaOH (1 M to 10 M), contact time (1 hour to 12 hours), and weight of sample (0.5 g to 5.0 g). The correlation coefficient, R2 for quadratic model of rice hull lignin removal (%) was 0.8863 while for coconut hull lignin removal (%) in linear model was 0.7998 as well as 2FI model was 0.8892. Three-dimensional (3D) response surface graph and two dimensional (2D) contour plots used to find out the relationship of the variables on the lignin removal. The optimum condition for rice hull lignin removal predicted by RSM were10 M NaOH concentration, 1 hour contact time, 0.5 g sample weight with 32.45% rice hull lignin removal percentage. The optimum condition for coconut hull lignin removal predicted by RSM were10 M NaOH concentration, 12 hours contact time, 0.5 g sample weight with 59.47% coconut hull lignin removal percentage. This shows pretreated rice hull and coconut hull able to be used as an effective alternative ruminant feed. This study improved utilization of agriculture waste as well as alternative feed for gradually expands feed cost.
format Undergraduate Final Project Report
author Lee Rui Ying
spellingShingle Lee Rui Ying
Chemical pretreatment of rice hull and coconut hull using response surface methodology
author_facet Lee Rui Ying
author_sort Lee Rui Ying
title Chemical pretreatment of rice hull and coconut hull using response surface methodology
title_short Chemical pretreatment of rice hull and coconut hull using response surface methodology
title_full Chemical pretreatment of rice hull and coconut hull using response surface methodology
title_fullStr Chemical pretreatment of rice hull and coconut hull using response surface methodology
title_full_unstemmed Chemical pretreatment of rice hull and coconut hull using response surface methodology
title_sort chemical pretreatment of rice hull and coconut hull using response surface methodology
publishDate 2018
url http://discol.umk.edu.my/id/eprint/4999/1/LEE%20RUI%20YING.pdf
http://discol.umk.edu.my/id/eprint/4999/
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score 13.209306