Dye adsorption from single and binary systems using NiO‐MnO<sub>2</sub> nanocomposite and artificial neural network modeling

Mahmoodi, Niyaz Mohammad; Hosseinabadi-Farahani, Zahra; Chamani, Hooman

doi:10.1002/ep.12452

Cited by 58 publications

(24 citation statements)

References 53 publications

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“…The analysis was done by linear and non-linear method to minimize the error occupancy and achieve accuracy. The maximum value of R 2 was obtained for Langmuir model which suggests homogenous interaction between the dye molecules and the adsorbent surface and also the model describes monolayer adsorption with identical sites and equivalent energy [43]. Linear plots for Langmuir, Freundlich and Dubinin-Radushkevich models were used for calculation of maximum adsorption capacity q max and rate constant describing adsorption intensity (Figs.…”

Section: Isotherm Studymentioning

confidence: 99%

Synthesis of porous iron – zirconium mixed oxide fabricated ethylene diamine composite for removal of cationic dye

Kumari¹,

Dey²

2019

Desalination and Water Treatment

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Synthesis of iron-zirconium binary oxide fabricated ethylene diamine (IZBO-en) composite involved two step synthesis including mixed binary oxide synthesis followed by synthesis of binary oxide-ethylene diamine composite. Mixed binary oxide was synthesized by co-precipitation method using ammonia as neutralizing agent. Binary oxide based ethylene diamine composite was synthesized using sodium dodecyl sulfate and potassium persulfate as reagents in reaction. Yield of product was 88%. Characterization of the material was done using Fourier-transform infrared spectroscopy, scanning electron microscopy, and Brunauer-Emmett-Teller analysis. Surface area was found to be 54.74 m 2 g-1. The synthesized material was efficient for removal of cationic dye methylene blue which is known for its toxicological effects. Adsorption parameters like contact time, dose, interference and pH were studied. Maximum adsorption capacity was found to be 242.79 mg g-1. Kinetic data suggested the mechanism of adsorption follows pseudo-second-order rate (R 2 = 0.998) with a rate constant of 2.788 mg g-1 min-1 and follows Langmuir adsorption isotherm model (R 2 = 0.987). Thermodynamic study revealed the process to be spontaneous and feasible with large negative free energy (ΔG =-9.54 kJ mol-1). Column study shows a removal of 600 ml 2 mg L-1 with 1 g material. Desorption was achieved with 79% regeneration in acidic medium. Real wastewater from nearby textile industry was tested and found to get decolourized with the material. In conclusion, IZBO-en can be efficiently used in detoxification of cationic dyes.

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Section: Isotherm Studymentioning

confidence: 99%

Synthesis of porous iron – zirconium mixed oxide fabricated ethylene diamine composite for removal of cationic dye

Kumari¹,

Dey²

2019

Desalination and Water Treatment

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“…In order to determine the kinetics of the adsorption process on ENMs, non-linear pseudo-first-order ( eq 3 ), non-linear pseudo-second-order ( eq 4 ), and intraparticle diffusion models ( eq 5 ) are tried to fit the experimental data: 93 , 94 where q e (mg g –1 ) and q t (mg g –1 ) are the adsorption capacity values at equilibrium and time t (min), respectively. k 1 (min –1 ) and k 2 (g mg –1 min –1 ) are the equilibrium rate constants of pseudo-first-order and pseudo-second-order models, respectively, and k id (mg g –1 min -1/2 ) is the intraparticle diffusion rate constant.…”

Section: Resultsmentioning

confidence: 99%

Green Electrospun Membranes Based on Chitosan/Amino-Functionalized Nanoclay Composite Fibers for Cationic Dye Removal: Synthesis and Kinetic Studies

et al. 2021

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Chitosan/poly(vinyl alcohol)/amino-functionalized montmorillonite nanocomposite electrospun membranes with enhanced adsorption capacity and thermomechanical properties were fabricated and utilized for the removal of a model cationic dye (Basic Blue 41). Effects of nanofiller concentrations (up to 3.0 wt %) on the morphology and size of the nanofibers as well as the porosity and thermomechanical properties of the nanocomposite membranes are studied. It is shown that the incorporation of the nanoclay particles with ∼10 nm lateral sizes into the polymer increases the size of the pores by about 80%. To demonstrate the efficiency of the adsorbents, the dye removal rate is investigated as a function of pH, adsorbent dosage, dye concentration, and nanofiller loading. The highest and fastest dye removal occurs for the nanofibrous membranes containing 2 wt % nanofiller, where about 80% of the cationic dye is removed after 15 min. This performance is at least 20% better than the pristine chitosan/poly(vinyl alcohol) membrane. The thermal stability and compression resistance of the nanocomposite membranes are found to be higher than those of the pristine membrane. In addition, reusability studies show that the dye removal performance of this nanocomposite membrane reduces by only about 5% over four cycles. The adsorption kinetics is explained by the Langmuir isotherm model and is expressed by a pseudo-second-order kinetic mechanism that determines a spontaneous chemisorption process. The results of this study provide a valuable perspective on the fabrication of high-performance, reusable, and efficient electrospun fibrous nanocomposite adsorbents.

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“…Effluent MO and EY dye concentrations in the binary dye solutions were calculated using Equation and with components of A and B, which were measured at λ 1 max and λ 2max respectively to give absorbance of A 1 and A 2.

C_{A} = \frac{k_{B 2} A_{1} - k_{B 1} A_{2}}{k_{A 1} K_{B 2} - k_{A 2} k_{B 1}}

C_{B} = \frac{k_{A 1} A_{2} - k_{A 2} A_{1}}{k_{A 1} k_{B 2} - k_{A 2} k_{B 1}}

where K A1 , K B1 , K A2 , and K B2 are the calibration constants for components A and B at two wavelengths λ 1max and λ 2max, respectively. C A , and C B are the concentrations of MO dye and EY dye after adsorption.…”

Section: Experimental and Analytical Methodologymentioning

confidence: 99%

“…Effluent MO and EY dye concentrations in the binary dye solutions were calculated using Equation 1 and 2 with components of A and B, which were measured at λ 1max and λ 2max respectively to give absorbance of A 1 and A 2. [22,23]…”

Section: Dye Adsorption Experimentsmentioning

confidence: 99%

Enhanced adsorption performance of a novel Fe‐Mn‐Zr metal oxide nanocomposite adsorbent for anionic dyes from binary dye mix: Response surface optimization and neural network modeling

Singh

Kezo

Debnath

et al. 2017

Applied Organom Chemis

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A novel adsorbent, Fe‐Mn‐Zr metal oxide nanocomposite was synthesized and investigated for removal of methyl orange (MO) and eosin yellow (EY) dyes from binary dye solution. The magnetic nanocomposite has shown surface area of 143.01 m2/g and saturation magnetization of 15.29 emu/g. Optimization was carried out via response surface methodology (RSM) for optimizing process variables, and optimum dye removal of 99.26% and 99.55% were obtained for MO and EY dye, respectively with contact time 62 min, adsorbent dose 0.45 g/l, initial MO concentration 11.0 mg/l, and initial EY concentration 25.0 mg/l. A feed forward back propagation neural network model has shown better prediction ability than RSM model for predicting MO and EY dye removal (%). Adsorption process strictly follows Langmuir isotherm model, and enhanced adsorption capacities of 196.07 and 175.43 mg/g were observed for MO and EY dye, respectively due to synergistic effects of physicochemical properties of trimetal oxides. Surface adsorption and pore diffusions are the mechanisms involved in the adsorption as revealed from kinetic studies.

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Dye adsorption from single and binary systems using NiO‐MnO₂ nanocomposite and artificial neural network modeling

Cited by 58 publications

References 53 publications

Synthesis of porous iron – zirconium mixed oxide fabricated ethylene diamine composite for removal of cationic dye

Synthesis of porous iron – zirconium mixed oxide fabricated ethylene diamine composite for removal of cationic dye

Green Electrospun Membranes Based on Chitosan/Amino-Functionalized Nanoclay Composite Fibers for Cationic Dye Removal: Synthesis and Kinetic Studies

Enhanced adsorption performance of a novel Fe‐Mn‐Zr metal oxide nanocomposite adsorbent for anionic dyes from binary dye mix: Response surface optimization and neural network modeling

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Dye adsorption from single and binary systems using NiO‐MnO2 nanocomposite and artificial neural network modeling

Cited by 58 publications

References 53 publications

Synthesis of porous iron – zirconium mixed oxide fabricated ethylene diamine composite for removal of cationic dye

Synthesis of porous iron – zirconium mixed oxide fabricated ethylene diamine composite for removal of cationic dye

Green Electrospun Membranes Based on Chitosan/Amino-Functionalized Nanoclay Composite Fibers for Cationic Dye Removal: Synthesis and Kinetic Studies

Enhanced adsorption performance of a novel Fe‐Mn‐Zr metal oxide nanocomposite adsorbent for anionic dyes from binary dye mix: Response surface optimization and neural network modeling

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Dye adsorption from single and binary systems using NiO‐MnO₂ nanocomposite and artificial neural network modeling