Statistical optimization, soft computing prediction, mechanistic and empirical evaluation for fundamental appraisal of copper, lead and malachite green adsorption

Eftekhari, Mohammad; Gheibi, Mohammad; Azizi‐Toupkanloo, Hossein; Hossein-Abadi, Zahra; Khraisheh, Majeda; Fathollahi-Fard, Amir M.; Tian, Guangdong

doi:10.1016/j.jii.2021.100219

Cited by 27 publications

(17 citation statements)

References 61 publications

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“…Furthermore, the q t proportionately with fed concentrations inferred the suitability of a 5:12 ratio of sorbent mass to solution volume within the tested concentration ranges. These findings of fast uptake, short equilibrium time, and relatively high experimental q t values were competitive with recent CMs in the literature [17,[43][44][45][46].…”

Section: Adsorption Investigationsupporting

confidence: 54%

Optimization, Nature, and Mechanism Investigations for the Adsorption of Ciprofloxacin and Malachite Green onto Carbon Nanoparticles Derived from Low-Cost Precursor via a Green Route

et al. 2022

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The spread of organic pollutants in water spoils the environment, and among the best-known sorbents for removing organic compounds are carbonaceous materials. Sunflower seed waste (SFSW) was employed as a green and low-cost precursor to prepare carbon nanoparticles (CNPs) via pyrolysis, followed by a ball-milling process. The CNPs were treated with a nitric–sulfuric acid mixture (1:1) at 100 °C. The scanning electron microscopy (SEM) showed a particle size range of 38 to 45 nm, and the Brunauer–Emmett–Teller (BET) surface area was 162.9 m2 g−1. The elemental analysis was performed using energy-dispersive X-ray spectroscopy, and the functional groups on the CNPs were examined with Fourier transform infrared spectroscopy. Additionally, an X-ray diffractometer was employed to test the phase crystallinity of the prepared CNPs. The fabricated CNPs were used to adsorb ciprofloxacin (CFXN) and malachite green (MLG) from water. The experimentally obtained adsorption capacities for CFXN and MLG were 103.6 and 182.4 mg g−1, respectively. The kinetic investigation implied that the adsorption of both pollutants fitted the pseudo-first-order model, and the intraparticle diffusion step controlled the process. The equilibrium findings for CFXN and MLG sorption on the CNPs followed the Langmuir and the Fredulich isotherm models, respectively. It was concluded that both pollutants spontaneously adsorbed on the CNPs, with physisorption being the likely mechanism. Additionally, the FTIR analysis of the adsorbed CFXN showed the disappearance of some functional groups, suggesting a chemisorption contribution. The CNPs showed an excellent performance in removing CFXN and MLG from groundwater and seawater samples and possessed consistent efficiency during the recycle–reuse study. The application of CNPs to treat synthetically contaminated natural water samples indicated the complete remediation of polluted water using the ball-mill-fabricated CNPs.

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Section: Adsorption Investigationsupporting

confidence: 54%

Optimization, Nature, and Mechanism Investigations for the Adsorption of Ciprofloxacin and Malachite Green onto Carbon Nanoparticles Derived from Low-Cost Precursor via a Green Route

et al. 2022

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“…The Temkin parameters in the current study show R 2 values generally >0.80. According to [ 85 ], values of the Temkin constant ( bt ) lower than 20 KJ mol −1 would indicate the existence of physical adsorption processes. Table 4 shows that, in general, bt values are always higher, which would justify the presence of chemisorption reactions [ 84 ].…”

Section: Discussionmentioning

confidence: 99%

Cu and As(V) Adsorption and Desorption on/from Different Soils and Bio-Adsorbents

et al. 2022

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This research is concerned with the adsorption and desorption of Cu and As(V) on/from different soils and by-products. Both contaminants may reach soils by the spreading of manure/slurries, wastewater, sewage sludge, or pesticides, and also due to pollution caused by mining and industrial activities. Different crop soils were sampled in A Limia (AL) and Sarria (S) (Galicia, NW Spain). Three low-cost by-products were selected to evaluate their bio-adsorbent potential: pine bark, oak ash, and mussel shell. The adsorption/desorption studies were carried out by means of batch-type experiments, adding increasing and individual concentrations of Cu and As(V). The fit of the adsorption data to the Langmuir, Freundlich, and Temkin models was assessed, with good results in some cases, but with high estimation errors in others. Cu retention was higher in soils with high organic matter and/or pH, reaching almost 100%, while the desorption was less than 15%. The As(V) adsorption percentage clearly decreased for higher As doses, especially in S soils, from 60–100% to 10–40%. The As(V) desorption was closely related to soil acidity, being higher for soils with higher pH values (S soils), in which up to 66% of the As(V) previously adsorbed can be desorbed. The three by-products showed high Cu adsorption, especially oak ash, which adsorbed all the Cu added in a rather irreversible manner. Oak ash also adsorbed a high amount of As(V) (>80%) in a rather non-reversible way, while mussel shell adsorbed between 7 and 33% of the added As(V), and pine bark adsorbed less than 12%, with both by-products reaching 35% desorption. Based on the adsorption and desorption data, oak ash performed as an excellent adsorbent for both Cu and As(V), a fact favored by its high pH and the presence of non-crystalline minerals and different oxides and carbonates. Overall, the results of this research can be relevant when designing strategies to prevent Cu and As(V) pollution affecting soils, waterbodies, and plants, and therefore have repercussions on public health and the environment.

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“…The main part of geometrical model is to study the mechanism of adsorption/desorption and their change rates over time in the adsorption process (Eftekhari et al, 2021). Calculations of the geometric model are presented in an algorithm represented in Fig.…”

Section: Geometric Modelmentioning

confidence: 99%

Mechanistic evaluation of cationic dyes adsorption onto low-cost calcinated aerated autoclaved concrete wastes

Gheibi

Eftekhari

Tabrizi

et al. 2021

Int. J. Environ. Sci. Technol.

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Application of construction and demolition (C&D) wastes were considered as sustainable development goals (SDGs) for maintaining raw materials. Also, lightweight concretes such as aerated autoclaved concrete (AAC) were used for partitioning spaces in the building industry. Moreover, the waste products of the mentioned materials were increased due to the rise of old construction demolitions. This study contributes a calcinated aerated autoclaved concrete (CAAC) which is efficient, powerful, highly rapid, non-expensive and novel adsorbent for the removal of cationic dyes including malachite green (MG), methyl violet (MV) and methylene blue (MB) form water samples. The impacts of different variables for the proposed system including initial pH value, stirring rate, dye concentration and contact time are explored to optimize the selected analyses. Most notably, this study analyzes the experimental isotherm data by using two-parameter isotherms such as Dubinin-Radushkevich, Temkin, Langmuir and Freundlich equations and three-parameter isotherms including Koble-Corrigan, Toth, Redlich-Peterson and Sips models. The maximum adsorption capacities for MG, MB and MV are 370.4, 256.4 and 277.8 mg g −1 , respectively. In addition, five kinetic models, Elovich, intraparticle diffusion, main equations of pseudo-first-and second-order, and Boyd mathematical models are employed to follow the kinetic parameters and adsorption process of each dye. The Boyd equations indicate that with regard to all three dyes and at all concentrations, the film diffusion is dominant over intraparticle diffusions. Almost none of the geometric plots of adsorption and desorption curves intersected, indicating the adsorption process is optimally performed. KeywordsCalcinated aerated autoclave concrete • Methylene blue • Methyl violet • Malachite green • Adsorption kinetics and isotherm; Mathematical models * A. M. Fathollahi-Fard

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Statistical optimization, soft computing prediction, mechanistic and empirical evaluation for fundamental appraisal of copper, lead and malachite green adsorption

Cited by 27 publications

References 61 publications

Optimization, Nature, and Mechanism Investigations for the Adsorption of Ciprofloxacin and Malachite Green onto Carbon Nanoparticles Derived from Low-Cost Precursor via a Green Route

Optimization, Nature, and Mechanism Investigations for the Adsorption of Ciprofloxacin and Malachite Green onto Carbon Nanoparticles Derived from Low-Cost Precursor via a Green Route

Cu and As(V) Adsorption and Desorption on/from Different Soils and Bio-Adsorbents

Mechanistic evaluation of cationic dyes adsorption onto low-cost calcinated aerated autoclaved concrete wastes

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