alexa Column Biosorption of Lead, Cadmium, Copper, and Arsenic ions onto Algae | OMICS International
ISSN: 2155-9821

Journal of Bioprocessing & Biotechniques
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Research Article

Column Biosorption of Lead, Cadmium, Copper, and Arsenic ions onto Algae

Abbas H. Sulaymon1, Ahmed A. Mohammed2 and Tariq J. Al-Musawi3*
1Professor and Head of Energy Engineering Department, Baghdad University, Iraq
2Assistant Professor, Environmental Engineering Department, Baghdad University, Iraq
3Environmental Engineering Department, Baghdad University, Iraq
Corresponding Author : Tariq J. Al-Musawi
Environmental Engineering Department
Baghdad University, Iraq
E-mail: [email protected]
Received April 04, 2013; Accepted May 27, 2013; Published June 25, 2013
Citation: Sulaymon AH, Mohammed AA, Al-Musawi TJ (2013) Column Biosorption of Lead, Cadmium, Copper, and Arsenic ions onto Algae. J Bioprocess Biotech 3:128. doi: 10.4172/2155-9821.1000128
Copyright: © 2013 Sulaymon AH, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

A mixture of green and blue-green algae was used as an adsorbant material for biosorption of lead, cadmium, copper, and arsenic ions in fluidized bed reactor. Batch experiments showed that the algal biomass was successfully used for the removal of these metal ions from wastewater. The maximum percentage removal for 1 g dose was 89, 82, 79, and 70 for Pb2+, Cu2+, Cd2+ and As3+, respectively. The experimental data fit well to an ion exchange equilibrium model. Affinity constants were calculated for each metal. A higher affinity of the biomass towards lead (Pb2+) was observed due to the high electronegativity of this metal. FTIR analyses showed that hydroxyl and carboxyl groups could be very effective for capturing these metals. An ideal plug flow model was adopted to characterize the fluidized bed reactor and solved numerically using MATLAB version (R2009b), which fit well to the experimental breakthrough data. The effects of different operating conditions such as: static bed height, superficial velocity and particle diameter on the removal process were investigated. Lead showed the largest operating time compared with others.

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