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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2012(Vol.4, Issue:05)
Article Information:

Application of Response Surface Methodology (RSM) for Optimizing Production Condition for Removal of Pb (II) and Cu (II) Onto Kenaf Production Condition for Removal of Pb (II) and Cu (II) Onto Kenaf

Z.Z. Chowdhury, Sharifuddin M. Zain, Rashid A. Khan, A.A. Ahmad and K. Khalid
Corresponding Author:  Z.Z. Chowdhury 
Submitted: 2011 October, 05
Accepted: 2011 October, 23
Published: 2012 March, 01
Abstract:
This research aims to find out the feasibility of preparing kenaf fiber based carbon for removal of divalent cations of Pb (II) and Cu (II) from waste water. Activated carbon was prepared by using physiochemical activation method which involves two step of potassium hydroxide impregnation (KOH) with carbon dioxide activation of the semi carbonized char. The effects of three preparation variables; temperature (500-700ÂșC), time (1-3 h) and Impregnation Ratio (IR) by using KOH (1-3) on the removal percentage of Pb (II) and Cu (II) ions were investigated by using Design of Experiment (DOE). Quadratic models were developed to correlate activated carbon preparation variables from kenaf fibers with the two responses by applying Central Composite Design (CCD). Experimental data were analysed by using analysis of variance (ANOVA) and the most influential factor on each experimental design response was identified. Process optimization was done by validating both the model to obtain maximum removal efficiency with possible maximum yield of activated carbon.

Key words:  Activated carbon, ANOVA, Central Composite Design (CCD), Design of Experiment (DOE), Response Surface Methodology (RSM), ,
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Cite this Reference:
Z.Z. Chowdhury, Sharifuddin M. Zain, Rashid A. Khan, A.A. Ahmad and K. Khalid, . Application of Response Surface Methodology (RSM) for Optimizing Production Condition for Removal of Pb (II) and Cu (II) Onto Kenaf Production Condition for Removal of Pb (II) and Cu (II) Onto Kenaf. Research Journal of Applied Sciences, Engineering and Technology, (05): 458-465.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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