Methylene blue removal with ZnO coated montmorillonite: thermodynamic, kinetic, isotherm and artificial intelligence studies

Altıntığ, Esra; Balta, Samet; Balta, Musa; Aydemir, Zeynep

doi:10.1080/15226514.2021.1984386

Cited by 14 publications

(6 citation statements)

References 51 publications

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“…MB adsorption of ZnO/AC is assumed to result in monolayer coating at roughly homogeneous binding sites, supported by the Langmuir model (Zhang et al 2010). In the calculated results, the 1/n value being in the range of 0-1 and more importantly being close to zero shows that the surface is heterogeneous and the model is in good agreement with the experimental data (Altintig et al 2022). In our study, these values are greater than 1.…”

Section: Concentration and Timesupporting

confidence: 73%

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Modeling of Methylene blue removal with Zinc oxide-coated activated carbon with Artificial Neural Networks

Altıntıg,

Sarıcı,

Bozdag

et al. 2023

Preprint

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In the first stage of this study, activated carbon was obtained from agricultural waste hazelnut shells through chemical activation with H3PO4. Composite materials were obtained by coating the activated carbon with zinc oxide, whose BET surface area was calculated as 1278 m2/g. ZnO doped ZnO/AC composite was synthesized as an adsorbent for its possible application in the elimination of organic dyestuff MB and its removal efficiency was investigated. Morphological properties of ZnO/AC were characterized using analytical methods such as XRD, SEM, FT-IR. The adsorption system and its parameters were investigated and modeled using the response surface method of batch adsorption experiments. The experimental design consisted of three levels of pH (3, 6.5 and 10), initial MB concentration (50, 100 and 150 mg L− 1), dosage (0.1, 0.3 and 0.5 g 100 mL − 1), and contact time contact time (5, 50 and 95 min). The results from the RSM suggested that the MB removal efficiency was 98.7% under optimum conditions of the experimental factors. The R2 value, which expresses the significance of the model, was determined as 99.05%. Adsorption studies showed that the equilibrium data fit well with the Langmuir isotherm model compared to Freundlich. The maximum adsorption capacity was calculated as 270.70 mg g− 1.

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Section: Concentration and Timesupporting

confidence: 73%

“…Liquid nitrogen was used at -196.5 °C to improve N2 adsorption on the surface of the adsorbent. The BET-specific surface area of the adsorbent was then calculated using the p/p0 ratio (Altintig et al 2022).…”

Section: Bet Analysismentioning

confidence: 99%

Modeling of Methylene blue removal with Zinc oxide-coated activated carbon with Artificial Neural Networks

Altıntıg,

Sarıcı,

Bozdag

et al. 2023

Preprint

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“…The effect of the selected optimal conditions on COD, BOD 5 , TDS, TSS and dyes removal efficiency was investigated using the pilot plant. The utilized TCFA doses were 2, 3 and 4 gL −1 for industrial wastewater with initial dye concentration ranges (0-10), (10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) and (20-30) mgL −1 respectively. The applied contact time was 0.5 h with mixing speed 150 r.p.m and sedimentation time equal to 15 min.…”

Section: Adsorption Studiesmentioning

confidence: 99%

“…16,17 The most significant use of the adsorption method is the removal of colorants from industrial effluent using suitable adsorbents. [18][19][20] Adsorption is a desirable and efficient alternative method of treating industrial wastewater, particularly if the adsorbent is inexpensive, widely accessible, and reusable. Industrial or agricultural wastes have been used as adsorbents in a number of studies over the past several years, and the results indicate that these wastes have varying degrees of adsorption capability.…”

Section: Introductionmentioning

confidence: 99%

Modified coal fly ash for textile dye removal from industrial wastewater

Eteba

Bassyouni

Saleh

2022

Energy & Environment

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Complex dyes have an adverse impact on the environment since they have a high aqueous solubility and are very challenging to be removed using conventional approaches. A series of batch tests were performed to determine the optimum parameters for the direct blue 78 dye adsorption process as a function of chemically treated coal fly ash (TCFA) Effect of fly ash dose, contact time and dye initial concentration were studied using an industrial wastewater. A pilot plant, consisting of three stages; mixing, sedimentation and filtration was designed and implemented to investigate the ability of TCFA to remove COD, BOD5, TDS and TSS from textile wastewater under optimal conditions. A series of fly ash physico-chemical analysis including particles size analysis, zeta potential, XRD, EDX, BET, SEM and FTIR were investigated. The results showed that the particles size and zeta potential for raw coal fly ash were 1.2 µm and −20.70 mv. Chemical treatment process using hydrochloric acid resulted reducing the particles size of fly ash from 1.2 µm to 0.95 µm. Zeta potential value increased to + 7.20 mv. Batch adsorption process showed that the removal efficiency decreased as the primary dye concentration increased. It increased when fly ash loading and contact time increased. Dyes removal was achieved up to 99.7% using TCFA loading 3gL−1 for initial dye concentration10 mgL−1. Studies on equilibrium revealed that the equilibrium data was closely fitted to the Freundlich and Langmuir isotherm models. Kinetic study of adsorption process was studied in detial. Based on high correlation coefficient (R2 = 0.999), the results were followed pseudo second-order model.

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“…Zn-, Fe-, and Ti-oxide-based nanocomposites are examples of well-studied adsorbents, − which have proven their effectiveness for dye adsorption. In particular, Zn-based nanocomposites have shown great promise due to their high adsorption capacity, versatility, low toxicity, ease of preparation, and low cost. − …”

Section: Introductionmentioning

confidence: 99%

Nanoporous Zn(OH)₂/ZnO Particles for pH-Independent Methylene Blue Wastewater Treatment

Egualle

Kassahun

Appiah-Ntiamoah

2023

ACS Appl. Nano Mater.

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Although zinc-based nanocomposites have good methylene blue (MeB) adsorption capabilities, their efficiency is heavily limited by pH. This is troubling because large-scale pH adjustment is not economically viable when treating huge volumes of MeB-polluted water. In this study, we eliminate this limitation by tuning the phase and pore structure of zinc hydroxide/zinc oxide (Zn(OH) 2 /ZnO) nanostructures to allow for interfacial pore-filling adsorption reactions that are pH-independent. The physicochemical optimization is achieved using different reaction temperatures and ammonium fluoride (NH 4 F) dopant concentrations under hydrothermal conditions. The phase and microstructure of the Zn(OH) 2 /ZnO nanostructures are characterized using ζ-potential, SEM, XPS, XRD, Tauc plots, FT-IR, and BET analysis. At 80 and 120 °C and without NH 4 F doping, λ-Zn(OH) 2 /ZnO nanosheets were generated with a high specific surface area and pore volume but low MeB removal capacity. However, the addition of NH 4 F creates solid and porous β-Zn(OH) 2 /ZnO polyhedrons with high activity. In particular, 120 °C and 1.0 g of NH 4 F produce highly porous β-Zn(OH) 2 /ZnO octahedral nanoparticles (i.e., 120-1) with a high concentration of 6-nm-sized pores, which were crucial for MeB interfacial pore-filling from pH 3 to pH 10. The adsorption kinetics is fast and governed by the Langmuir, pseudo-second-order, and intraparticle diffusion models. 120-1 can be immobilized on a chelating polymer such as polyacrylonitrile (PAN) to generate a flexible membrane with high performance. Our study shows that careful control of the pore structure and phase of Zn(OH) 2 in Zn(OH) 2 /ZnO nanostructures overcomes the pH limitations.

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Methylene blue removal with ZnO coated montmorillonite: thermodynamic, kinetic, isotherm and artificial intelligence studies

Cited by 14 publications

References 51 publications

Modeling of Methylene blue removal with Zinc oxide-coated activated carbon with Artificial Neural Networks

Modeling of Methylene blue removal with Zinc oxide-coated activated carbon with Artificial Neural Networks

Modified coal fly ash for textile dye removal from industrial wastewater

Nanoporous Zn(OH)₂/ZnO Particles for pH-Independent Methylene Blue Wastewater Treatment

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Methylene blue removal with ZnO coated montmorillonite: thermodynamic, kinetic, isotherm and artificial intelligence studies

Cited by 14 publications

References 51 publications

Modeling of Methylene blue removal with Zinc oxide-coated activated carbon with Artificial Neural Networks

Modeling of Methylene blue removal with Zinc oxide-coated activated carbon with Artificial Neural Networks

Modified coal fly ash for textile dye removal from industrial wastewater

Nanoporous Zn(OH)2/ZnO Particles for pH-Independent Methylene Blue Wastewater Treatment

Contact Info

Product

Resources

About

Nanoporous Zn(OH)₂/ZnO Particles for pH-Independent Methylene Blue Wastewater Treatment