Kinetic studies of biosorption of copper from aqueous solution using ground peanut hulls

WCU Author/Contributor (non-WCU co-authors, if there are any, appear on document)
Tolulope Ayodeji Alaye (Creator)
Western Carolina University (WCU )
Web Site:
Carmen Huffman

Abstract: Water contamination by heavy metals from industrial wastewater discharge is a serious global environmental concern. For a heavy metal like copper, accumulation beyond the tolerant limit would constitute a serious environmental and public health problem. Biosorption of copper to bio-sorbents like peanut hulls has proven to be a considerably good method for wastewater remediation, but the parameters for industrial application are yet to be fully studied. The purpose of this research is to study the kinetics of biosorption of copper from aqueous solutions using ground peanut hulls. There are two types of ground hulls, low density hulls which float and high density hulls which sink in water. Each hull type was studied in its unmodified form and compared to hulls that had been modified via an alkaline peroxide solution. Most of the biosorption takes place in the first 2 h of biosorption process. The initial rate of the biosorption process was faster for modified hulls have than for unmodified hulls, and the rate was faster for low density hulls than high density hulls. This trend is likely due to the higher concentration of binding sites in the low density and modified hulls. The process fits best to the pseudo second order kinetic model, which is typical of biosorption processes. The modified hulls had roughly the same rate constant while the low density unmodified hulls had a much higher rate constant. This result may be due to a higher collision frequency factor or reduced transition energy state. The high density unmodified hulls had a lower rate constant, possibly because of the materials responsible for the high density.

Additional Information

Language: English
Date: 2021
Adsorption, Bioremediation, Biosorption, Copper, Kinetics, Peanut Hulls

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