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Kinetics and Isotherm Study of Heavy Metals Removal from Electroplating Waste Water Usingcassava Peel Activated Carbon


Kinetics and Isotherm Study of Heavy Metals Removal from Electroplating Waste Water Usingcassava Peel Activated Carbon
Authors : Gin. W. A., Jimoh. A., Abdulkareem. A. S, Giwa. A.
Publication Date: 01-01-2014

Authors

Author(s):  Gin. W. A., Jimoh. A., Abdulkareem. A. S, Giwa. A.

Published in:   International Journal of Engineering Research & Technology

License:  This work is licensed under a Creative Commons Attribution 4.0 International License.

Website: www.ijert.org

Volume/Issue:   Vol. 3 - Issue 1 (January - 2014)

e-ISSN:   2278-0181

Abstract

Liquid waste discharged from process industries,when not correctly handled and disposed,poses a great threatto both man and the environment. In this work, thekinetics and isotherm studies of adsorption process of zinc, copper, lead and iron ions from electroplating wastewater usingcassava peel activated carbon (CPAC)developed as an adsorbent were aimed. The important experimental factors of the process such as agitation time, adsorbent dosage, pH and agitation speed on the removal of the heavy metals were studied to optimize the adsorption capacity of zinc, copper, iron and lead using cassava peel activated carbon.The preliminary studies involving the factors were also used as the criteria for choosing the metals considered for the kinetics and the isotherm studies. The results obtained indicated that 2.0 g of adsorbent per 20 ml of waste water was enough to remove 70 % for Cu, 69.5 % for Zn, 81.3 % for Fe and 100 % for Pb, respectively from the wastewater after 60 minutes of agitation time. The optimum pH value was estimated to be 6. Considering the pseudo-first-order and pseudo-second-order kinetic models that were used to describe the kinetics data,the adsorption data were found to be better fitted with the pseudo-first-order kinetic model. Applying the experimental equilibrium data to Langmuir, Freundlich, Dubinin-Radushkevich and Temkinisotherm models, their equilibrium parameters were determined and it was observed from the results that Freundlichisotherm model was able to fit the equilibrium data the best among the models considered because its square of correlation coefficient was the highest for each of the heavy metals considered in this work.

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