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An Efficient Wavelet Analysis Method to Film–Pore Diffusion Model Arising in Mathematical Chemistry

An Efficient Wavelet Analysis Method to Film–Pore Diffusion Model Arising in Mathematical Chemistry In this paper, we have established an efficient Legendre wavelet based approximation method to solve film–pore diffusion model arising in engineering. Film–pore diffusion model is widely used to determine study the kinetics of adsorption systems. The use of Legendre wavelet based approximation method is found to be accurate, simple, fast, flexible, convenient, and computationally attractive. It is shown that film–pore diffusion model satisfactorily describe kinetics of methylene blue adsorption onto the three low-cost adsorbents, Guava, teak and gulmohar plant leaf powders, used in this study. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Journal of Membrane Biology Springer Journals

An Efficient Wavelet Analysis Method to Film–Pore Diffusion Model Arising in Mathematical Chemistry

The Journal of Membrane Biology , Volume 247 (4) – Feb 23, 2014

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References (37)

Publisher
Springer Journals
Copyright
Copyright © 2014 by Springer Science+Business Media New York
Subject
Life Sciences; Biochemistry, general; Human Physiology
ISSN
0022-2631
eISSN
1432-1424
DOI
10.1007/s00232-014-9639-y
pmid
24562792
Publisher site
See Article on Publisher Site

Abstract

In this paper, we have established an efficient Legendre wavelet based approximation method to solve film–pore diffusion model arising in engineering. Film–pore diffusion model is widely used to determine study the kinetics of adsorption systems. The use of Legendre wavelet based approximation method is found to be accurate, simple, fast, flexible, convenient, and computationally attractive. It is shown that film–pore diffusion model satisfactorily describe kinetics of methylene blue adsorption onto the three low-cost adsorbents, Guava, teak and gulmohar plant leaf powders, used in this study.

Journal

The Journal of Membrane BiologySpringer Journals

Published: Feb 23, 2014

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