Immobilization of fungal biomass onto carbon nanotubes as biosorbent of arsenic removal /

Arsenic have been an issue in Malaysia because of the mining process happen recently. The potential of fungal biomass in removing arsenic and the promising ability of the Multi-walled Carbon Nanotubes (MWCNTs) to absorb heavy metals were considered in this study. The study was done by conducting exp...

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Bibliographic Details
Main Author: Fatin Nabilah binti Murad (Author)
Format: Thesis
Language:English
Published: Kuala Lumpur : Kulliyyah of Engineering, International Islamic University Malaysia, 2018
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Online Access:http://studentrepo.iium.edu.my/handle/123456789/4871
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Summary:Arsenic have been an issue in Malaysia because of the mining process happen recently. The potential of fungal biomass in removing arsenic and the promising ability of the Multi-walled Carbon Nanotubes (MWCNTs) to absorb heavy metals were considered in this study. The study was done by conducting experiments on immobilization of fungal biomass onto carbon nanotubes as biosorbent for arsenic [As (V)] removal. Three specific objectives of this research which were to evaluate the immobilization technique by selecting potential fungal strains for attachment of Multi-walled Carbon Nanotubes (MWCNTs) onto its biomass. Then, optimization of biosorption studies of As (V) by Response Surface Methodology (RSM) and the isothermal and kinetics study of biosorption process. Aspergillus niger was the best biomass producer to immobilize with MWCNTs. The main finding of first objective was the optimized conditions like pH, agitation speed, MWCNTs dose and inoculum dose which were 6, 150 rpm, 0.1 gram and 2% respectively. The optimization of As (V) removal as the second objective showed the quadratic model as the most fitted model with three manipulated variables which were pH, biosorbent dosage and agitation speed. Those three parameters have their optimum value which were 8, 0.1 gram and 160 rpm respectively. The kinetic studies illustrated the As (V) removal was best described by pseudo-second while the isotherm studies showed that the best model that could be applied was Langmuir isotherm model with 2.782 µmol/g of maximum adsorption capacity. The data obtained only applicable for As (V) removed by immobilized A.niger biomass with MWCNTs.
Physical Description:xii, 104 leaves : colour illustrations ; 30cm.
Bibliography:Includes bibliographical references (leaves 91-102).