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Evaluation of process condition impact on copper and lead ions removal from water using goethite incorporated nanocomposite ultrafiltration adsorptive membranes
by
Toraj Mohammadi
, Maryam Ahmadzadeh Tofighy
, Seyedeh-Soghra Hossaini-Zahed
, Saeid Rajabzadeh
, Omid Bakhtiari
, Soheil Hadadpour
, Pengfei Zhang
, Samaneh Khanlari
, Hideto Matsuyama
in
Adsorption
/ Adsorptivity
/ box-behnken experimental design
/ Copper
/ Efficiency
/ Effluents
/ Environmental technology. Sanitary engineering
/ Evaluation
/ Goethite
/ goethite nanoparticle
/ Heavy metals
/ Hydrogen-Ion Concentration
/ Ions
/ Iron Compounds
/ Lead
/ Membranes
/ Metal concentrations
/ metal ion removal
/ Metal ions
/ Metal oxides
/ Minerals
/ nanocomposite adsorptive membrane
/ Nanocomposites
/ Nanomaterials
/ Nanoparticles
/ Nitrates
/ Optimization
/ Permeability
/ Phenols
/ Polyacrylonitrile
/ Pore size
/ Process parameters
/ Removal
/ Response surface methodology
/ TD1-1066
/ Ultrafiltration
/ Water
/ Water Pollutants, Chemical
/ Water Pollutants, Chemical - analysis
/ water treatment
2022
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Evaluation of process condition impact on copper and lead ions removal from water using goethite incorporated nanocomposite ultrafiltration adsorptive membranes
by
Toraj Mohammadi
, Maryam Ahmadzadeh Tofighy
, Seyedeh-Soghra Hossaini-Zahed
, Saeid Rajabzadeh
, Omid Bakhtiari
, Soheil Hadadpour
, Pengfei Zhang
, Samaneh Khanlari
, Hideto Matsuyama
in
Adsorption
/ Adsorptivity
/ box-behnken experimental design
/ Copper
/ Efficiency
/ Effluents
/ Environmental technology. Sanitary engineering
/ Evaluation
/ Goethite
/ goethite nanoparticle
/ Heavy metals
/ Hydrogen-Ion Concentration
/ Ions
/ Iron Compounds
/ Lead
/ Membranes
/ Metal concentrations
/ metal ion removal
/ Metal ions
/ Metal oxides
/ Minerals
/ nanocomposite adsorptive membrane
/ Nanocomposites
/ Nanomaterials
/ Nanoparticles
/ Nitrates
/ Optimization
/ Permeability
/ Phenols
/ Polyacrylonitrile
/ Pore size
/ Process parameters
/ Removal
/ Response surface methodology
/ TD1-1066
/ Ultrafiltration
/ Water
/ Water Pollutants, Chemical
/ Water Pollutants, Chemical - analysis
/ water treatment
2022
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Evaluation of process condition impact on copper and lead ions removal from water using goethite incorporated nanocomposite ultrafiltration adsorptive membranes
by
Toraj Mohammadi
, Maryam Ahmadzadeh Tofighy
, Seyedeh-Soghra Hossaini-Zahed
, Saeid Rajabzadeh
, Omid Bakhtiari
, Soheil Hadadpour
, Pengfei Zhang
, Samaneh Khanlari
, Hideto Matsuyama
in
Adsorption
/ Adsorptivity
/ box-behnken experimental design
/ Copper
/ Efficiency
/ Effluents
/ Environmental technology. Sanitary engineering
/ Evaluation
/ Goethite
/ goethite nanoparticle
/ Heavy metals
/ Hydrogen-Ion Concentration
/ Ions
/ Iron Compounds
/ Lead
/ Membranes
/ Metal concentrations
/ metal ion removal
/ Metal ions
/ Metal oxides
/ Minerals
/ nanocomposite adsorptive membrane
/ Nanocomposites
/ Nanomaterials
/ Nanoparticles
/ Nitrates
/ Optimization
/ Permeability
/ Phenols
/ Polyacrylonitrile
/ Pore size
/ Process parameters
/ Removal
/ Response surface methodology
/ TD1-1066
/ Ultrafiltration
/ Water
/ Water Pollutants, Chemical
/ Water Pollutants, Chemical - analysis
/ water treatment
2022
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Evaluation of process condition impact on copper and lead ions removal from water using goethite incorporated nanocomposite ultrafiltration adsorptive membranes
Journal Article
Evaluation of process condition impact on copper and lead ions removal from water using goethite incorporated nanocomposite ultrafiltration adsorptive membranes
2022
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Overview
Polyacrylonitrile (PAN) adsorptive membrane incorporated with nanosize-goethite (α-FeO(OH)) hydrous metal oxide particles (GNPs), prepared with optimal flux and Cu(II) removal in the previous study, was used to evaluate the process parameter on the Cu(II) removal. Box-Behnken Design (BBD) based on the Response Surface Methodology (RSM) was employed to evaluate the impact of Cu(II) feed solution characteristics such as pH, initial concentration of metal ion, and transmembrane pressure (TMP) on copper removal efficiency. The outcomes indicated that the RSM optimization technique could be utilized as an applicable method to find the optimum condition for the maximum Cu(II) removal with slight variance compared with the experimentally measured data. The effect of each process parameter and the coupling effect of parameters on the Cu(II) removal was assessed. Finally, the optimum condition of pH, Cu(II) concentration, and transmembrane pressure (TMP) to obtain high copper removal efficiency was decided. In the optimum condition of the Cu(II) removal, the removal of lead (Pb(II)) metal ion was evaluated by the same membrane.
Publisher
IWA Publishing
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