Modification of nanosized natural montmorillonite for ultrasound-enhanced adsorption of Acid Red 17

Açışlı, Özkan; Khataee, Alireza; Karaca, Semra; Sheydaei, Mohsen

doi:10.1016/j.ultsonch.2015.12.012

Cited by 81 publications

(20 citation statements)

References 29 publications

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“…The future of Earth and its biodiversity are of common concern for everyone. Rapid technological and industrial developments in recent decades have led to a number of environmental problems, particularly with regard to the pollution of water resources . Synthetic dyes as major class of pollutants are responsible for making imbalances in aquatic ecosystems …”

Section: Introductionmentioning

confidence: 99%

Synthesis and characterization of antibacterial chromium iron oxide nanoparticle‐loaded activated carbon for ultrasound‐assisted wastewater treatment

Bazrafshan

Hajati

Ghaedi

et al. 2017

Applied Organom Chemis

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The aim of this study was to evaluate the surface adsorption capacity of CrFeO 3 nanoparticle-loaded activated carbon (CrFeO 3 -NPs-AC) for the removal of a cationic dye (methyl violet, MV). CrFeO 3 -NPs were hydrothermally synthesized and loaded on AC followed by characterization using X-ray diffraction, fieldemission scanning electron microscopy and energy-dispersive and Fourier transform infrared spectroscopies. The CrFeO 3 -NPs were tested for in vitro antibacterial activities against Gram-positive (Staphylococcus aureus) and Gram-negative (Pseudomonas aeruginosa) bacteria. Minimum inhibitory and minimum bactericidal concentrations of CrFeO 3 -NPs-AC were obtained to be 50 and 100 μg ml , respectively, against S. aureus and 25 and 50 μg ml −1 against P. aeruginosa. These results indicated the antibacterial properties of CrFeO 3 -NPs-AC. To investigate the adsorption process, several systematic experiments were designed by varying parameters such as adsorbent mass, pH, initial MV concentration and sonication time. The adsorption process was modelled and the optimal conditions were determined to be 0.013 g, 7.4, 15 mg l −1 and 8 min for adsorbent mass, pH, MV concentration and sonication time, respectively. The real experimental data were found to be efficiently explained by response surface methodology and genetic algorithm model. Kinetic studies for MV adsorption showed rapid sorption dynamics described by a second-order kinetic model, suggesting a chemisorption mechanism. Then, the experimental equilibrium data obtained at various concentrations of MV and adsorbent masses were fitted to conventional Langmuir, Freundlich, Temkin and Dubinin-Radushkevich isotherm models. Dye adsorption equilibrium data were fitted well to the Langmuir isotherm. From the Langmuir model, the maximum monolayer capacity was calculated to be 65.67 mg g −1 at optimum adsorbent mass.

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Section: Introductionmentioning

confidence: 99%

Synthesis and characterization of antibacterial chromium iron oxide nanoparticle‐loaded activated carbon for ultrasound‐assisted wastewater treatment

Bazrafshan

Hajati

Ghaedi

et al. 2017

Applied Organom Chemis

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“…In general, ultrasonic irradiation accelerate the rate of chemical reactions and mass transfer by the production of acoustic cavitation which includes the formation, growth, and collapsing of bubbles [20]. However, ultrasound changes the adsorption equilibrium by decreasing the concentration of dyes, which is probably owing to thermal effects in the vicinity of the adsorbent particles [21].…”

Section: Tons Permentioning

confidence: 99%

Synthesis of amine-modified zeolitic imidazolate framework-8, ultrasound-assisted dye removal and modeling

Abdi

Vossoughi

Mahmoodi

et al. 2017

Ultrasonics Sonochemistry

133

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The present research is focused on the ultrasound assisted adsorption of Acid blue 92 (AB92) and Direct red 80 (DR80) as anionic dyes in single and binary systems onto zeolitic imidazolate framework (ZIF-8) functionalized with 3-Aminopropyltrimethoxysilane (APTES). Different techniques such as Fourier transform infrared (FTIR), scanning electron microscope (SEM), field emission scanning electron microscopy (FE-SEM), X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) and thermogravimetric analyses (TGA) were used to characterize the prepared adsorbent. The individual effects and possible interactions between the various parameters including adsorbent dosage, sonication time, initial dye concentrations and pH on dyes removal efficiency were investigated by response surface methodology (RSM). The optimized experimental conditions were fixed at adsorbent dosage 0.005g for AB92 and 0.01g for DR80, pH 2.1, sonication time 15min, and initial dyes concentration 15mgL to get maximum removal percentage (>95.0%). A reliable and intelligent model based on least-squares support vector machine (LS-SVM) was developed to predict dye removal efficiency. The root mean square error (RMSE) of 0.604, 0.734 and 1.549 with high determination coefficient (R) of 0.999, 0.996 and 0.997 for AB92, DR80 and binary system, respectively, were able to predict and model the adsorption process. The presented model illustrates better performance in predicting dye removal efficiency compared to the kinetic models. The results showed that the adsorption process had better conformation with pseudo-second order model. The adsorption equilibrium data was investigated by Langmuir, Freundlich, Tempkin and Dubinin-Radushkevich isotherm models and the data were well fitted by Langmuir model with maximum adsorption capacity of 633.4 and 500.2mgg for AB92 and DR80 dyes, respectively. APTES@ZIF-8 was regenerated and found to be reusable after four successive cycles without considerable loss in adsorption capacity.

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“…However, adsorption is an effective, single, easy and cost‐effective option for treatment of wastewater effluent and is extensively applied for removal of contaminants from aqueous environments, while recently ultrasound irradiation was applied by our groups to accelerate the chemical process due to the phenomenon of acoustic cavitation . The formation, growth and collapse of bubbles as well as microscopic turbulence within interfacial films surrounding adsorbent and adsorbate by the propagation of a pressure ultrasound wave increases the mass transfer rate .…”

Section: Introductionmentioning

confidence: 99%

Statistical optimization and modeling approach for azo dye decolorization: Combined effects of ultrasound waves and nanomaterial‐based adsorbent

Pooralhossini

Zanjanchi

Ghaedi

et al. 2018

Applied Organom Chemis

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This study is devoted to an investigation of the effects of sonication time, adsorbent mass, pH and sunset yellow (SY) and disulfine blue (DB) concentration on the removal of DB and SY from water. Artificial neural network and response surface methodology approaches were used to optimize an analytical model to calculate the DB and SY removal performance of tin oxide nanoparticles loaded on activated carbon. The performance of both models was statistically evaluated in terms of the coefficient of determination (R2), root mean squared error (RMSE), mean absolute error (MAE) and absolute average deviation (AAD), and graphical plots were also used for comparison of the models. The obtained results show that the artificial neural network model outperforms the classical statistical model in terms of R2, RMSE, MAE and AAD for both dyes. Various isotherm models were studied for fitting the experimental equilibrium data, and the results confirm the applicability of the Langmuir isotherm for description of the adsorption equilibrium. Various kinetic models were applied to the experimental data and the results reveal that the pseudo‐second‐order model with better correlation is superior to the other kinetic models. The significant factors were optimized using the desirability function approach combined with central composite design. The obtained optimal point is located in the valid region and the experimental confirmation indicates good agreement between the predicted optimal points and the experimental data.

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Modification of nanosized natural montmorillonite for ultrasound-enhanced adsorption of Acid Red 17

Cited by 81 publications

References 29 publications

Synthesis and characterization of antibacterial chromium iron oxide nanoparticle‐loaded activated carbon for ultrasound‐assisted wastewater treatment

Synthesis and characterization of antibacterial chromium iron oxide nanoparticle‐loaded activated carbon for ultrasound‐assisted wastewater treatment

Synthesis of amine-modified zeolitic imidazolate framework-8, ultrasound-assisted dye removal and modeling

Statistical optimization and modeling approach for azo dye decolorization: Combined effects of ultrasound waves and nanomaterial‐based adsorbent

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