Process optimization and adsorption modeling of Pb(II) on nickel ferrite-reduced graphene oxide nano-composite

Lingamdinne, Lakshmi Prasanna; Koduru, Janardhan Reddy; Chang, Yoon-Young; Karri, Rama Rao

doi:10.1016/j.molliq.2017.11.174

Cited by 145 publications

(53 citation statements)

References 24 publications

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“…The removal percentage was increased slightly by increasing the residence time from 40 min to 115 min. These results confirmed that the initial adsorption rate was very rapid due to the availability of large surface area and the presence of unused sites on the biosorbent surface [38]. The slowing down of ion removal might be due to the difficulty of reaching the remaining vacant sites.…”

Section: Effect Of Factors On the Removal Percentages Of Pb(ii) And Csupporting

confidence: 67%

“…The filtrates were examined for metal ion concentration by using flame atomic absorption spectrophotometer (AAS) model (Agilent 200 series AA systems, 240FS AA, Agilent technologies, Santa Clara, California, CA, USA). A similar procedure proposed by Lingamdinne was conducted for removal of metal ions [38]. The experiments were conducted in triplicate to increase the precision and minimise error.…”

Section: Batch Biosorption Experimentsmentioning

confidence: 99%

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Optimisation and Modelling of Pb(II) and Cu(II) Biosorption onto Red Algae (Gracilaria changii) by Using Response Surface Methodology

Isam

Baloo

Kutty

et al. 2019

Water

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The removal of Pb (II) and Cu (II) ions by using marine red macroalgae (Gracilaria changii) as a biosorbent material was evaluated through the batch equilibrium technique. The effect of solution pH on the removal of metal ions was investigated within the range of 2–7. The response surface methodology (RSM) technique involving central composite design (CCD) was utilised to optimise the three main sorption parameters, namely initial metal ion concentration, contact time, and biosorbent dosage, to achieve maximum ion removal. The models’ adequacy of response was verified by ANOVA. The optimum conditions for removal of Pb (II) and Cu (II) were as follows: pH values of 4.5 and 5, initial concentrations of 40 mg/L, contact times of 115 and 45 min, and biosorbent dosage of 1 g/L, at which the maximum removal percentages were 96.3% and 44.77%, respectively. The results of the adsorption isotherm study showed that the data fitted well with the Langmuir’s model for Pb (II) and Cu (II). The results of the adsorption kinetic study showed that the data fitted well with the pseudo-second order model for Pb (II) and Cu (II). In conclusion, red alga biomass exhibits great potential as an efficient low-cost sorbent for removal of metal ions.

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Section: Effect Of Factors On the Removal Percentages Of Pb(ii) And Csupporting

confidence: 67%

Section: Batch Biosorption Experimentsmentioning

confidence: 99%

Optimisation and Modelling of Pb(II) and Cu(II) Biosorption onto Red Algae (Gracilaria changii) by Using Response Surface Methodology

Isam

Baloo

Kutty

et al. 2019

Water

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“…All the input variables, including the zeolite dosage (A), current density (B), electrolysis duration (C), and pH (D), were set between ranges during optimization, whereas the output response of variables was collected as the percentage ammonia removal. The effects of the chosen operating parameters were configured to achieve optimum removal performance based on the desirability suggested by CCD [57,58]. The scale of desirability ranged from 0 to 1, with 0 indicating an undesirable response and 1 being the most desirable reaction [59].…”

Section: Analysis Of Variables Optimizationmentioning

confidence: 99%

Optimization and Analysis of Zeolite Augmented Electrocoagulation Process in the Reduction of High-Strength Ammonia in Saline Landfill Leachate

Hamid

Aziz

Yusoff

et al. 2020

Water

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This work examined the behavior of a novel zeolite augmented on the electrocoagulation process (ZAEP) using an aluminum electrode in the removal of high-strength concentration ammonia (3471 mg/L) from landfill leachate which was saline (15.36 ppt) in nature. For this, a response surfaces methodology (RSM) through central composite designs (CCD) was used to optimize the capability of the treatment process. Design-Expert software (version 11.0.3) was used to evaluate the influences of significant variables such as zeolite dosage (100–120 g), current density (540–660 A/m2), electrolysis duration (55–65 min), and initial pH (8–10) as well as the percentage removal of ammonia. It is noted that the maximum reduction of ammonia was up to 71%, which estimated the optimum working conditions for the treatment process as follows: zeolite dosage of 105 g/L, the current density of 600 A/m2, electrolysis duration of 60 min, and pH 8.20. Furthermore, the regression model indicated a strong relationship between the predicted values and the actual experimental results with a high R2 of 0.9871. These results provide evidence of the ability of the ZAEP treatment as a viable alternative in removing high-strength landfill leachate of adequate salinity without the use of any supporting electrolyte.

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“…Nickel ferrite based reduced graphene oxide (NFRGO) nanocomposite was reported by Lingamdinne et al to optimized the independent variables viz. adsorbent dosage, solute concentration, and residence time for the removal of heavy metal Pb(II) ions from aqueous solution [209]. Ferrite's can be easily separated using external magnetic field and can be reused without any structural changes several times.…”

Section: Removal Of Lead Using Go-magnetite'smentioning

confidence: 99%

“…Cubic representation of independent variables response[209].Zhang et al reported the preparation of magnetic cobalt ferrite-reduced graphene oxide (CoFe2O4-rGO) nanocomposite to absorb the Pb(II) ions from aqueous solution[218]. CoFe2O4-rGO nanocomposite was prepared as reported in literature and used for metal ions adsorption[219,220].In brief, iron(III) nitrate and cobalt (III) nitrate solutions were drop wise added to the ultrasonicated GO suspension under vigorous stirring.…”

mentioning

confidence: 99%

Graphene Composites for Lead Ions Removal from Aqueous Solutions

2019

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The indiscriminate disposal of non-biodegradable, heavy metal ionic pollutants from various sources, such as refineries, pulp industries, lead batteries, dyes, and other industrial effluents, into the aquatic environment is highly dangerous to the human health as well as to the environment. Among other heavy metals, lead (Pb(II)) ions are some of the most toxic pollutants generated from both anthropogenic and natural sources in very large amounts. Adsorption is the simplest, efficient and economic water decontamination technology. Hence, nanoadsorbents are a major focus of current research for the effective and selective removal of Pb(II) metal ions from aqueous solution. Nanoadsorbents based on graphene and its derivatives play a major role in the effective removal of toxic Pb(II) metal ions. This paper summarizes the applicability of graphene and functionalized graphene-based composite materials as Pb(II) ions adsorbent from aqueous solutions. In addition, the synthetic routes, adsorption process, conditions, as well as kinetic studies have been reviewed.

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Process optimization and adsorption modeling of Pb(II) on nickel ferrite-reduced graphene oxide nano-composite

Cited by 145 publications

References 24 publications

Optimisation and Modelling of Pb(II) and Cu(II) Biosorption onto Red Algae (Gracilaria changii) by Using Response Surface Methodology

Optimisation and Modelling of Pb(II) and Cu(II) Biosorption onto Red Algae (Gracilaria changii) by Using Response Surface Methodology

Optimization and Analysis of Zeolite Augmented Electrocoagulation Process in the Reduction of High-Strength Ammonia in Saline Landfill Leachate

Graphene Composites for Lead Ions Removal from Aqueous Solutions

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