REMOVAL OF CHROMIUM FROM SIMULATED WASTEWATER USING PERIWINKLE SHELL ACTIVATED CARBON

Student: Uduakobong Umana Itaketo
Supervisor: Prof Lucky Uyigue Uyigue
HOD: Dr Kingsley Egemba Egemba
Department of Chemical Engineering
Engineering
University of Uyo, Akwa Ibom State

Abstract

Chromium adsorption from wastewater onto periwinkle shell activated carbon was studied using batch experiments. Periwinkle shell samples were prepared, pyrolysed at 700°C, activated with nitric acid and characterized to determine its physiochemical properties. Batch adsorption experiments were conducted to investigate the effects of process parameters (contact time, adsorbent dosage and initial metal ion concentration) on adsorption rate. Adsorption kinetics was tested using pseudo first and second order models. Adsorption Isotherms were analyzed using the Langmuir and Freundlich isotherm models. Results showed that adsorption rate increased with increase in contact time, adsorbent dosage and initial metal ion concentration. Batch adsorption Kinetics experiments gave a Correlation coefficient value (R2 ) of 0.9337 and 0.9931 for the pseudo First and Second order kinetic models respectively. This revealed that the mechanism of adsorption followed pseudo-second-order kinetic model; this indicated that the adsorption process of chromium (III) ions onto periwinkle shell activated carbon was controlled by chemisorption mechanism. Adsorption Isotherm data showed a Correlation coefficient value (R2 ) of 0.987 and 0.8295 for Langmuir and Freundlich Isotherms respectively. This showed that the Langmuir isotherm accurately described the adsorption data indicating that the adsorption process was mainly monolayer on a homogeneous adsorbent surface. A model was developed for the adsorption process and validated by plotting the percentage removal obtained from experiments against the predicted values of the model. Results showed that the Correlation coefficient value (R2 ) was found to be 0.9998 which indicated a good fit and a valid model representation of the adsorption model

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