MATHEMATICAL AND ANN MODELS OF THE EFFECT OF DOSAGE ON CU2+ SORPTION CAPACITY OF LUFFA CYLINDRICA

Prof Aluyor Emmanuel O. and Innocent O. Oboh, Thomas O. K. Audu   (Published 2013)

Prof Emmanuel O.
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Abstract

Abstract
The biosorption of copper (II) ions onto Luffa cylindrica was investigated. Luffa cylindrica, a biomaterial with wide distribution particularly in the tropical world, is characterized with the surface area, chemical bonds, bulk density, pore size distribution, microstructures, composition, morphology and elemental composition which are determined. Biosorption studies were carried out with varying dosage and the experimental data obtained were fitted to Pseudo-Second order kinetic model. The regression value obtained from the various doses studies ranged from 0.991 to 0.999. A kinectic model was developed mathematically and as well Artificial Neural Network (ANN) was applied to develop a Multiple Input Single Output (MISO) back propagation neural network model which was validated. The RMSE value was found to be 1.2754. Artificial neural network has the capability to predict the sorption capacity quite reasonably for the model.


Keywords: Sorption Capacity; Luffa Cylindrica; Biosorption; Mathematical Modelling; Artificial Neural Network


Item Type: Journal article(non-copyrighted)
Format: PDF document,   726.64 KB
Copyright: Creative Commons LicenseCreative Commons license
Keywords: Sorption Capacity; Luffa Cylindrica; Biosorption; Mathematical Modelling; Artificial Neural Network
Department: Chemical Engineering
Field of Study: Engineering- Chemical
Uploaded By: Uddin Osemengbe Oyaimare
Date Added: 24 Nov 2017 5:28am
Last Modified: 28 Nov 2017
Journal URL: https://www.edouniversity.edu.ng/oer/journal/mathematical_and_ann_models_of_the_effect_of_dosage_on_cu2_sorption_capacity_of_luffa_cylindrica


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