Evaluation of process condition impact on copper and lead ions removal from water using goethite incorporated nanocomposite ultrafiltration adsorptive membranes | Zendy

Seyedeh-Soghra Hossaini-Zahed | Zendy; Samaneh Khanlari | Zendy; Omid Bakhtiari | Zendy; Maryam Ahmadzadeh Tofighy | Zendy; Soheil Hadadpour | Zendy; Saeid Rajabzadeh | Zendy; Pengfei Zhang | Zendy; Hideto Matsuyama | Zendy; Toraj Mohammadi | Zendy

Open Access

Evaluation of process condition impact on copper and lead ions removal from water using goethite incorporated nanocomposite ultrafiltration adsorptive membranes

Author(s) -

Seyedeh-Soghra Hossaini-Zahed,

Samaneh Khanlari,

Omid Bakhtiari,

Maryam Ahmadzadeh Tofighy,

Soheil Hadadpour,

Saeid Rajabzadeh,

Pengfei Zhang,

Hideto Matsuyama,

Toraj Mohammadi

Publication year - 2022

Publication title -

water science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.406

H-Index - 137

eISSN - 1996-9732

pISSN - 0273-1223

DOI - 10.2166/wst.2022.024

Subject(s) - response surface methodology , copper , ultrafiltration (renal) , membrane , goethite , metal ions in aqueous solution , polyacrylonitrile , chemistry , metal , ferrous , inorganic chemistry , chemical engineering , materials science , adsorption , chromatography , metallurgy , polymer , biochemistry , organic chemistry , engineering

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.

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