Multivariate optimization of high removal of lead(II) using an efficient synthesized Ni-based metal–organic framework adsorbent

Farahani, Saeideh Dermanaki; Zolgharnein, Javad

doi:10.1016/j.cjche.2020.08.011

Cited by 15 publications

(16 citation statements)

References 61 publications

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“…These results situate MTV-MOF/SWCNT-BP among the most efficient materials for lead decontamination and as the most efficient MOF-based material for this purpose. 28 − 40 …”

Section: Resultsmentioning

confidence: 99%

“…Overall, all these capture results indicate that MTV-MOF/SWCNT-BP is capable of reducing [Pb 2+ ] in contaminated solutions to acceptable limits for drinking water. These results situate MTV-MOF/SWCNT-BP among the most efficient materials for lead decontamination and as the most efficient MOF-based material for this purpose. − …”

Section: Resultsmentioning

confidence: 99%

“… 27 In particular, a few water-stable MOFs and MOF-based nanocomposites have been investigated as potential Pb 2+ adsorbents. 28 − 40 Some of them show high adsorption capacities 40 and selectivities, 39 even in multicomponent metal ion water systems and/or in the presence of foulants. However, despite these remarkable advances, to the best of our knowledge there is no reported MOF able to clean up contaminated waters within limits accepted for drinking water (10 ppb, 5 ppb for bottled water).…”

Section: Introductionmentioning

confidence: 99%

“…They combine water stability and highly and well-defined functional , porous structures with large internal surface areas, which allow for tailorable host–guest interactions and consequently enhanced affinity for target contaminants . In particular, a few water-stable MOFs and MOF-based nanocomposites have been investigated as potential Pb 2+ adsorbents. − Some of them show high adsorption capacities and selectivities, even in multicomponent metal ion water systems and/or in the presence of foulants. However, despite these remarkable advances, to the best of our knowledge there is no reported MOF able to clean up contaminated waters within limits accepted for drinking water (10 ppb, 5 ppb for bottled water).…”

Section: Introductionmentioning

confidence: 99%

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Multivariate Metal–Organic Framework/Single-Walled Carbon Nanotube Buckypaper for Selective Lead Decontamination

Baratta

Mastropietro

Bruno

et al. 2022

ACS Appl. Nano Mater.

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The search for efficient technologies empowering the selective capture of environmentally harmful heavy metals from wastewater treatment plants, at affordable prices, attracts wide interest but constitutes an important technological challenge. We report here an eco-friendly single-walled carbon nanotube buckypaper (SWCNT-BP) enriched with a multivariate amino acid-based metal–organic framework (MTV-MOF) for the efficient and selective removal of Pb 2+ in multicomponent water systems. Pristine MTV-MOF was easily immobilized within the porous network of entangled SWCNTs, thus obtaining a stable self-standing adsorbing membrane filter ( MTV-MOF/SWCNT-BP ). SWCNT-BP alone shows a moderately good removal performance with a maximum adsorption capacity of 180 mg·g –1 and a considerable selectivity for Pb(II) ions in highly concentrated multi-ion solutions over a wide range of lead concentration (from 200 to 10000 ppb). Remarkably, these features were outperformed with the hybrid membrane filter MTV-MOF/SWCNT-BP , exhibiting enhanced selectivity and adsorption capacity (310 mg·g –1 , which is up to 42% higher than that of the neat SWCNT-BP) and consequently enabling a more efficient and selective removal of Pb 2+ from aqueous media. MTV-MOF/SWCNT-BP was able to reduce [Pb 2+ ] from the dangerous 1000 ppb level to acceptable limits for drinking water, below 10 ppb, as established by the current EPA and WHO limits. Thus, the eco-friendly composite MTV-MOF/SWCNT-BP shows the potential to be effectively used several times as a reliable adsorbent for Pb 2+ removal for household drinking water or in industrial treatment plants for water and wastewater lead decontamination.

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“…These results situate MTV-MOF/SWCNT-BP among the most efficient materials for lead decontamination and as the most efficient MOF-based material for this purpose. 28 − 40 …”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multivariate Metal–Organic Framework/Single-Walled Carbon Nanotube Buckypaper for Selective Lead Decontamination

Baratta

Mastropietro

Bruno

et al. 2022

ACS Appl. Nano Mater.

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show abstract

“…Many reports about the removal of metal ions from water sources by various adsorbents including biosorbent, metal oxides, and nanocomposites are available in the literature survey 1–8,11–16 . However, recently, a new class of efficient and interesting adsorbent called metal–organic framework (MOF) has been encouraged the researchers of the adsorption process 17–31 …”

Section: Introductionmentioning

confidence: 99%

Experimental design optimization and isotherm modeling for removal of copper(II) by calcium‐terephthalate MOF synthesized from recycled PET waste

Zolgharnein

Farahani

2022

Journal of Chemometrics

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In this research, a calcium-terephthalate metal-organic framework ([Ca(BDC) (H 2 O) 3 ]) was synthesized by a new high yield solvothermal method as an efficient adsorbent. Terephthalate ligand recovered from polyethylene terephthalate (PET) waste was used as a precursor in the synthesis process. The adsorption ability of this compound to remove copper(II) from aqueous solutions was investigated. Experimental designs involving Plackett-Burman and Doehlert designs were used for the optimization of the adsorption process. Plackett-Burman design was used for screening the effective factors such as pH, adsorbent dosage, and initial concentration of Cu(II). Running Doehlert design (DD) as an optimization approach led to find a model for relation between response and effective factors and maximized uptake capacity (q) of Cu(II) (q = 351.3 mgg À1 ) under optimum conditions (pH = 5, adsorbent dosage = 1.50 mg and initial concentration of Cu(II) = 150 mgL À1 ). Infrared spectroscopy (FTIR), X-ray diffraction (XRD), energy-dispersive X-ray (EDX), and field-emission scanning electron microscopy (FESEM) analyses were applied to investigate the chemical and crystal structure of [Ca(BDC)(H 2 O) 3 ]. Furthermore, kinetics, isotherms, thermodynamics, and desorption studies are complementary divisions of this research.

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Artificial neural network (ANN) modeling for simultaneous removal of a binary mixture of Pb(II) and Cu(II) by cobalt hydroxide nano‐flakes

Zolgharnein

Shariatmanesh

Farahani

2023

Journal of Chemometrics

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A three‐layer artificial neural network (ANN) model was developed to predict the efficiency of Cu(II) and Pb(II) ion removal from aqueous solution by cobalt hydroxide nano‐flakes. It is based on experimental sets obtained from a D‐optimal design. The input variables to the neural network were as follows: the initial concentration of Pb(II) and Cu (II) ions (mg L−1), initial pH, and sorbent mass (g). The configuration of the backpropagation neural network for both Cu(II) and Pb (II) ions was a tangent sigmoid transfer function (tansig) at the hidden layer, linear transfer function (purelin) at the output layer, and Levenberg–Marquardt training algorithm (LMA). ANN‐predicted results were very close to the experimental results with a coefficient of determination (R2) of 0.9970 and mean square error (MSE) 0.000376. Analysis based on the ANN model indicated that sorbent mass appeared to be the most influential factor in the adsorption process of Cu(II) and Pb(II). Characterization of the cobalt hydroxide nano‐flakes and possible metal ions‐adsorbent interactions were confirmed by Fourier transform infrared spectroscopy (FT‐IR), X‐ray diffraction (XRD), and scanning electron microscopy (SEM).

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Multivariate optimization of high removal of lead(II) using an efficient synthesized Ni-based metal–organic framework adsorbent

Cited by 15 publications

References 61 publications

Multivariate Metal–Organic Framework/Single-Walled Carbon Nanotube Buckypaper for Selective Lead Decontamination

Multivariate Metal–Organic Framework/Single-Walled Carbon Nanotube Buckypaper for Selective Lead Decontamination

Experimental design optimization and isotherm modeling for removal of copper(II) by calcium‐terephthalate MOF synthesized from recycled PET waste

Artificial neural network (ANN) modeling for simultaneous removal of a binary mixture of Pb(II) and Cu(II) by cobalt hydroxide nano‐flakes

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