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Application of central composite design for optimization of the removal of humic substances using coconut copra

Coconut copra is a potential biosorbent for removal of humic substances from peat swamp runoff. In this paper, response surface methodology was applied to evaluate the optimum conditions for removal of humic substances from peat swamp runoff using modified coconut copra. Batch adsorption experiments...

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Main Authors: Terri Zhuan, Ean Lee, Chanida, Krongchai, Nurul Aida Lu, Bt Mohd Irwan Lu, Sila, Kittiwachana, Siong, Fong Sim
Format: E-Article
Language:English
Published: Springer Berlin Heidelberg 2015
Subjects:
QD Chemistry
SB Plant culture
Online Access:http://ir.unimas.my/id/eprint/10314/1/NO%2017%20Application%20of%20central%20composite%20design%20for%20optimization%20of%20the%20removal%20of%20humic%20substances%20using%20coconut%20copra.%28abstract%29.pdf
http://ir.unimas.my/id/eprint/10314/
http://link.springer.com/article/10.1007%2Fs40090-015-0041-0
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spelling my.unimas.ir.103142016-10-21T01:21:58Z http://ir.unimas.my/id/eprint/10314/ Application of central composite design for optimization of the removal of humic substances using coconut copra Terri Zhuan, Ean Lee Chanida, Krongchai Nurul Aida Lu, Bt Mohd Irwan Lu Sila, Kittiwachana Siong, Fong Sim QD Chemistry SB Plant culture Coconut copra is a potential biosorbent for removal of humic substances from peat swamp runoff. In this paper, response surface methodology was applied to evaluate the optimum conditions for removal of humic substances from peat swamp runoff using modified coconut copra. Batch adsorption experiments were conducted according to central composite design. Results show that the quadratic model is best fitted for predicting the removal efficiency with regression coefficients closer to 1 and a lower root mean square error. Dosage is found to have significant influence on the removal efficiency with p < 0.05. Response surface models further identified the optimum dosage, contact time and temperature at 4.56 g modified coconut copra per 100 mL peat swamp runoff, 42.9 min and 56.8 °C/329°K, respectively attaining the maximum removal efficiency of 88.19 %. The predicted removal efficiency was confirmed experimentally under the modelled optimum conditions; the removal efficiency attained (86.54 %) was in good agreement with the predicted value. Springer Berlin Heidelberg 2015 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/10314/1/NO%2017%20Application%20of%20central%20composite%20design%20for%20optimization%20of%20the%20removal%20of%20humic%20substances%20using%20coconut%20copra.%28abstract%29.pdf Terri Zhuan, Ean Lee and Chanida, Krongchai and Nurul Aida Lu, Bt Mohd Irwan Lu and Sila, Kittiwachana and Siong, Fong Sim (2015) Application of central composite design for optimization of the removal of humic substances using coconut copra. International Journal of Industrial Chemistry, 6 (3). pp. 185-191. ISSN 2228-5547 http://link.springer.com/article/10.1007%2Fs40090-015-0041-0 DOI 10.1007/s40090-015-0041-0
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QD Chemistry
SB Plant culture
spellingShingle QD Chemistry
SB Plant culture
Terri Zhuan, Ean Lee
Chanida, Krongchai
Nurul Aida Lu, Bt Mohd Irwan Lu
Sila, Kittiwachana
Siong, Fong Sim
Application of central composite design for optimization of the removal of humic substances using coconut copra
description Coconut copra is a potential biosorbent for removal of humic substances from peat swamp runoff. In this paper, response surface methodology was applied to evaluate the optimum conditions for removal of humic substances from peat swamp runoff using modified coconut copra. Batch adsorption experiments were conducted according to central composite design. Results show that the quadratic model is best fitted for predicting the removal efficiency with regression coefficients closer to 1 and a lower root mean square error. Dosage is found to have significant influence on the removal efficiency with p < 0.05. Response surface models further identified the optimum dosage, contact time and temperature at 4.56 g modified coconut copra per 100 mL peat swamp runoff, 42.9 min and 56.8 °C/329°K, respectively attaining the maximum removal efficiency of 88.19 %. The predicted removal efficiency was confirmed experimentally under the modelled optimum conditions; the removal efficiency attained (86.54 %) was in good agreement with the predicted value.
format E-Article
author Terri Zhuan, Ean Lee
Chanida, Krongchai
Nurul Aida Lu, Bt Mohd Irwan Lu
Sila, Kittiwachana
Siong, Fong Sim
author_facet Terri Zhuan, Ean Lee
Chanida, Krongchai
Nurul Aida Lu, Bt Mohd Irwan Lu
Sila, Kittiwachana
Siong, Fong Sim
author_sort Terri Zhuan, Ean Lee
title Application of central composite design for optimization of the removal of humic substances using coconut copra
title_short Application of central composite design for optimization of the removal of humic substances using coconut copra
title_full Application of central composite design for optimization of the removal of humic substances using coconut copra
title_fullStr Application of central composite design for optimization of the removal of humic substances using coconut copra
title_full_unstemmed Application of central composite design for optimization of the removal of humic substances using coconut copra
title_sort application of central composite design for optimization of the removal of humic substances using coconut copra
publisher Springer Berlin Heidelberg
publishDate 2015
url http://ir.unimas.my/id/eprint/10314/1/NO%2017%20Application%20of%20central%20composite%20design%20for%20optimization%20of%20the%20removal%20of%20humic%20substances%20using%20coconut%20copra.%28abstract%29.pdf
http://ir.unimas.my/id/eprint/10314/
http://link.springer.com/article/10.1007%2Fs40090-015-0041-0
_version_ 1644510929870651392
score 13.211869

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