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Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms

Paper ID Volume ID Publish Year Pages File Format Full-Text
33297 44966 2015 11 PDF Available
Title
Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
Abstract

•Inactive and living Trichoderma viride biomass used as biosorbent for Cd(II).•pH, biosorbent dosage, metal concentration, time, temperature effects investigated.•Mechanisms of Cd(II) removal studied by kinetic and isotherm modeling and FTIR.•Biomass has good uptakes and high removal efficiencies in Cd(II) bioremoval.•Support vector machines and genetic algorithms used for modelling and optimisation.

We investigated the bioremoval of Cd(II) in batch mode, using dead and living biomass of Trichoderma viride. Kinetic studies revealed three distinct stages of the biosorption process. The pseudo-second order model and the Langmuir model described well the kinetics and equilibrium of the biosorption process, with a determination coefficient, R2 > 0.99. The value of the mean free energy of adsorption, E, is less than 16 kJ/mol at 25°C, suggesting that, at low temperature, the dominant process involved in Cd(II) biosorption by dead T. viride is the chemical ion-exchange. With the temperature increasing to 40–50°C, E values are above 16 kJ/mol, showing that the particle diffusion mechanism could play an important role in Cd(II) biosorption.The studies on T. viride growth in Cd(II) solutions and its bioaccumulation performance showed that the living biomass was able to bioaccumulate 100% Cd(II) from a 50 mg/L solution at pH 6.0.The influence of pH, biomass dosage, metal concentration, contact time and temperature on the bioremoval efficiency was evaluated to further assess the biosorption capability of the dead biosorbent. These complex influences were correlated by means of a modeling procedure consisting in data driven approach in which the principles of artificial intelligence were applied with the help of support vector machines (SVM), combined with genetic algorithms (GA). According to our data, the optimal working conditions for the removal of 98.91% Cd(II) by T. viride were found for an aqueous solution containing 26.11 mg/L Cd(II) as follows: pH 6.0, contact time of 3833 min, 8 g/L biosorbent, temperature 46.5°C. The complete characterization of bioremoval parameters indicates that T. viride is an excellent material to treat wastewater containing low concentrations of metal.

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Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
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Publisher
Database: Elsevier - ScienceDirect
Journal: New Biotechnology - Volume 32, Issue 3, 25 May 2015, Pages 358–368
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us