Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/35215

TitleExperimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms
Author(s)Hlihor, R. M.
Diaconu, M.
Leon, Florin
Curteanu, Silvia
Tavares, M. T.
Gavrilescu, M.
KeywordsBioaccumulation
Biosorption
Cadmium
Equilibrium
Genetic algorithms
Kinetics
Sorption mechanism
Support vector machines
Issue date25-May-2015
PublisherElsevier B.V.
JournalNew Biotechnology
CitationHlihor, Raluca Maria; Diaconu, Mariana; Leon, Florin; Curteanu, Silvia; Tavares, T.; Gavrilescu, Maria, Experimental analysis and mathematical prediction of Cd(II) removal by biosorption using support vector machines and genetic algorithms. New Biotechnology, 22(3), 358-368, 2015
Abstract(s)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 4050°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.
TypeArticle
URIhttp://hdl.handle.net/1822/35215
DOI10.1016/j.nbt.2014.08.003
ISSN1871-6784
e-ISSN1871-6784
Publisher versionhttp://www.journals.elsevier.com/new-biotechnology/
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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