Decolorization and degradation of acid dye with immobilized titania nanoparticles

Vaez, Mohammad; Moghaddam, Abdolsamad Zarringhalam; Mahmoodi, Niyaz Mohammad; Alijani, Somayeh

doi:10.1016/j.psep.2011.07.005

Cited by 41 publications

(36 citation statements)

References 31 publications

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“…A variety of materials have been employed as the substrate of TiO 2 catalysts for the photocatalytic degradation of contaminates . Our previous works have demonstrated that sackcloth fibre is a promising support for heterogeneous photocatalytic processes and water purification systems . The obtained results showed the feasibility of cyclic use of TiO 2 ‐coated sackcloth fibre and the stability of TiO 2 coating on support .…”

Section: Introductionmentioning

confidence: 80%

Evaluation of photocatalytic activity of immobilized titania nanoparticles by support vector machine and artificial neural network

et al. 2015

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In this study, TiO2 nanoparticles immobilized on sackcloth fibre were used for the photodegradation of acid dye, and the efficiency of heterogeneous photocatalysts was predicted using the support vector machines model and artificial neural network model. Acid Red 73 was applied as a model compound. The experimental results were determined as the function of key factors such as initial H2O2 concentration, dye concentration, dissolved anions, pH, and time. The obtained results were used for training the models. To find the most suitable and reliable network, different algorithms and transfer functions were tested. The trial and error method was used to find the optimum number of neurons and layers. The root mean squared of error (RMSE), the sum of square error (SSE), and R2 for the models were calculated. Results show that support vector machines and neural network models can effectively learn and model the aforementioned process and predict the efficiency of photodegradation of coloured wastewater.

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Section: Introductionmentioning

confidence: 80%

Evaluation of photocatalytic activity of immobilized titania nanoparticles by support vector machine and artificial neural network

et al. 2015

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“…Thus, enhancement of decolorization efficiency of the dye in acidic condition can be ascribed on the basis of electrostatic interactions between the positive TiO 2 surface and the dye anions [36]. In addition, 2,4-PIP has sulfuric groups in its structure, which is negatively charged in alkaline conditions.…”

Section: Effect Of Phmentioning

confidence: 99%

Solar-light induced photodecolorization of water soluble azo-azomethine dye: influence of operational parameters and nanophotocatalysts

Khanmohammadi

Rezaeian

2015

Desalination and Water Treatment

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A B S T R A C TPhotocatalytic decolorization of a new water soluble azo-azomethine dye, sodium 4-((4-hydroxy-3-((2-(4-(4-(2-hydroxy-5-((4-sulfonatophenyl)diazenyl)benzylide-neamino)butyl) piperazin-1-yl)ethylimino)methyl)phenyl)diazenyl)benzenesulfonate, 2,4-PIP, has been reviewed under solar light and UV irradiation. The effects of experimental parameters such as (i) initial dye concentration, (ii) the nanophotocatalyst dosage, (iii) hydrogen peroxide concentration, (iv) irradiation time, and (v) pH on photodecolorization of the dye have been investigated. The photocatalytic activity of TiO 2 and ZnO on rate and efficiency of decolorization was also investigated. The result indicated that TiO 2 was a valuable alternative nanocatalyst than ZnO for decolorization of the dye in the presence of solar light and UV irradiation at pH 5-7. Furthermore, maximum decolorization of the dye (more than 95%) was occurred in the presence of TiO 2 during 30 min under solar light. The intermediate products of photodecolorization were also identified using gas chromatography-mass spectrometry.

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“…A number of chemical and physical methods such as chemical coagulation, activated sludge, biodegradation, oxidation, membrane separation, adsorption, and photodegradation have been reported for the removal of azo dye compounds [5][6][7][8][9][10]. Among the physical and chemical processes, the adsorption procedure is effective in producing high-quality effluent without the formation of harmful substances [9,10].…”

Section: Introductionmentioning

confidence: 99%

Removal of hazardous azo dye Metanil Yellow from aqueous solution by cross-linked magnetic biosorbent; equilibrium and kinetic studies

Tural

Tarhan

Tural

2016

Desalination and Water Treatment

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A B S T R A C TIn this study, glutaraldehyde cross-linked magnetic chitosan nanoparticles (GMCNs) were prepared through cross-linking modification of magnetic chitosan nanoparticles using glutaraldehyde as a cross-linker that exhibited excellent Metanil Yellow (MY) adsorption performance. The characterization of the GMCNs was performed by Fourier transform infrared spectroscopy, transmission electronmicroscopy, scanning electron microscopy, dynamic light scattering, and vibrating sample magnetometry analyses. Adsorption characteristics of MY from aqueous solution onto GMCNs have been studied. During the studies, various essential factors influencing the adsorption, like adsorbate concentration, amount of adsorbent, pH of the solution, and contact time have been monitored. The equilibrium was achieved within 17 h at pH 4, and the adsorption data obeyed the Langmuir equation with a maximum adsorption capacity of 625 mg/g and a Langmuir adsorption equilibrium constant of 5.2 × 10 −4 dm 3 /mg at 25˚C. The adsorption kinetics of MY at different initial dye concentrations was evaluated by the first-order and second-order models. The kinetic studies of MY adsorption showed that the adsorption process followed a second-order kinetic model. Furthermore, the GMCNs can be regenerated and reused through dye desorption in alkaline solution at pH 10. Adsorption results for reusability were 100, 93, and 65%, respectively, for three repeats.

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Decolorization and degradation of acid dye with immobilized titania nanoparticles

Cited by 41 publications

References 31 publications

Evaluation of photocatalytic activity of immobilized titania nanoparticles by support vector machine and artificial neural network

Evaluation of photocatalytic activity of immobilized titania nanoparticles by support vector machine and artificial neural network

Solar-light induced photodecolorization of water soluble azo-azomethine dye: influence of operational parameters and nanophotocatalysts

Removal of hazardous azo dye Metanil Yellow from aqueous solution by cross-linked magnetic biosorbent; equilibrium and kinetic studies

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