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Title: Kinetic modelling for zinc (II) ions biosorption onto Luffa cylindrica

Abstract

The biosorption of Zinc (II) ions onto a biomaterial - Luffa cylindrica has been studied. This biomaterial was characterized by elemental analysis, surface area, pore size distribution, scanning electron microscopy, and the biomaterial before and after sorption, was characterized by Fourier Transform Infra Red (FTIR) spectrometer. The kinetic nonlinear models fitted were Pseudo-first order, Pseudo-second order and Intra-particle diffusion. A comparison of non-linear regression method in selecting the kinetic model was made. Four error functions, namely coefficient of determination (R{sup 2}), hybrid fractional error function (HYBRID), average relative error (ARE), and sum of the errors squared (ERRSQ), were used to predict the parameters of the kinetic models. The strength of this study is that a biomaterial with wide distribution particularly in the tropical world and which occurs as waste material could be put into effective utilization as a biosorbent to address a crucial environmental problem.

Authors:
 [1]; ;  [2]
  1. Department of Chemical and Petroleum Engineering, University of Uyo, Uyo (Nigeria)
  2. Department of Chemical Engineering, University of Uyo, BeninCity, BeninCity (Nigeria)
Publication Date:
OSTI Identifier:
22391326
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 1653; Journal Issue: 1; Conference: APMAS 2014: 4. International Congress in Advances in Applied Physics and Materials Science, Fethiye (Turkey), 24-27 Apr 2014; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; BIOLOGICAL MATERIALS; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; DIFFUSION; ERRORS; FOURIER TRANSFORM SPECTROMETERS; INFRARED SPECTRA; NONLINEAR PROBLEMS; SCANNING ELECTRON MICROSCOPY; SORPTION; SURFACE AREA; ZINC IONS

Citation Formats

Oboh, I., E-mail: innocentoboh@uniuyo.edu.ng, Aluyor, E., and Audu, T.. Kinetic modelling for zinc (II) ions biosorption onto Luffa cylindrica. United States: N. p., 2015. Web. doi:10.1063/1.4914270.
Oboh, I., E-mail: innocentoboh@uniuyo.edu.ng, Aluyor, E., & Audu, T.. Kinetic modelling for zinc (II) ions biosorption onto Luffa cylindrica. United States. doi:10.1063/1.4914270.
Oboh, I., E-mail: innocentoboh@uniuyo.edu.ng, Aluyor, E., and Audu, T.. Mon . "Kinetic modelling for zinc (II) ions biosorption onto Luffa cylindrica". United States. doi:10.1063/1.4914270.
@article{osti_22391326,
title = {Kinetic modelling for zinc (II) ions biosorption onto Luffa cylindrica},
author = {Oboh, I., E-mail: innocentoboh@uniuyo.edu.ng and Aluyor, E. and Audu, T.},
abstractNote = {The biosorption of Zinc (II) ions onto a biomaterial - Luffa cylindrica has been studied. This biomaterial was characterized by elemental analysis, surface area, pore size distribution, scanning electron microscopy, and the biomaterial before and after sorption, was characterized by Fourier Transform Infra Red (FTIR) spectrometer. The kinetic nonlinear models fitted were Pseudo-first order, Pseudo-second order and Intra-particle diffusion. A comparison of non-linear regression method in selecting the kinetic model was made. Four error functions, namely coefficient of determination (R{sup 2}), hybrid fractional error function (HYBRID), average relative error (ARE), and sum of the errors squared (ERRSQ), were used to predict the parameters of the kinetic models. The strength of this study is that a biomaterial with wide distribution particularly in the tropical world and which occurs as waste material could be put into effective utilization as a biosorbent to address a crucial environmental problem.},
doi = {10.1063/1.4914270},
journal = {AIP Conference Proceedings},
number = 1,
volume = 1653,
place = {United States},
year = {Mon Mar 30 00:00:00 EDT 2015},
month = {Mon Mar 30 00:00:00 EDT 2015}
}