Back to Search
Start Over
Laccase immobilized manganese ferrite nanoparticle: Synthesis and LSSVM intelligent modeling of decolorization
- Source :
- Water Research. 67:216-226
- Publication Year :
- 2014
- Publisher :
- Elsevier BV, 2014.
-
Abstract
- Laccase was immobilized onto manganese ferrite nanoparticle (MFN) and dye decolorization from single and binary systems was studied. The characteristics of laccase immobilized manganese ferrite nanoparticle (LIMFN) were investigated using Fourier transform infrared (FTIR) and scanning electron microscopy (SEM). Direct red 31 (DR31), Acid blue 92 (AB92) and Direct green 6 (DG6) were used. A least square support vector machine (LSSVM) was developed to predict the decolorization efficiency of various single and binary systems based on the obtained laboratory data under different experimental conditions. Statistical and graphical quality measures were also employed to evaluate the performance and accuracy of the developed intelligent models. It is shown that the predictions of the designed LSSVM models are in close agreement with the experimental data. The effects of LIMFN dosage, pH and dye concentration on dye decolorization from single and binary systems were evaluated. Decolorization kinetics followed Michaelis–Menten Model.
- Subjects :
- Support Vector Machine
Environmental Engineering
Materials science
Scanning electron microscope
Kinetics
Color
Metal Nanoparticles
Nanoparticle
Manganese ferrite
Ferric Compounds
Water Purification
symbols.namesake
Least-Squares Analysis
Fourier transform infrared spectroscopy
Coloring Agents
Waste Management and Disposal
Water Science and Technology
Civil and Structural Engineering
Laccase
Chromatography
Ecological Modeling
Hydrogen-Ion Concentration
Enzymes, Immobilized
Pollution
Intelligent modeling
Fourier transform
Manganese Compounds
Models, Chemical
Chemical engineering
symbols
Water Pollutants, Chemical
Subjects
Details
- ISSN :
- 00431354
- Volume :
- 67
- Database :
- OpenAIRE
- Journal :
- Water Research
- Accession number :
- edsair.doi.dedup.....35dfce5110c5038df9e5e04b0ee67ffa
- Full Text :
- https://doi.org/10.1016/j.watres.2014.09.011