Filtration and removal performances of membrane adsorbers

Autor: Mehmet Sinan Yıldırım, Levent Aydin, Melih Savran, Yilmaz Yurekli
Přispěvatelé: Department of Bioengineering, Manisa Celal Bayar University, Sehit Prof. Dr. İlhan Varank Kampusu, YunusemreManisa 45140, Turkey, Department of Metallurgical and Materials Engineering, Manisa Celal Bayar University, Sehit Prof. Dr. İlhan Varank Kampusu, YunusemreManisa 45140, Turkey, Mechanical Engineering Department, Izmir Katip Çelebi University, Balatçık Kampusu, Çiğli, Izmir, Turkey
Rok vydání: 2017
Předmět:
Zdroj: Journal of Hazardous Materials. 332:33-41
ISSN: 0304-3894
DOI: 10.1016/j.jhazmat.2017.02.061
Popis: Membrane adsorbers are promising candidates for the efficient and effective removal of heavy metals in waste water due to their unattainable adsorption and filtration capabilities. In the present study, zeolite nanoparticles incorporated polysulfone (PSf10) membrane was synthesized by means of non solvent induced phase separation technique for the removal of lead and nickel ions in water. PSf10 showed a remarkable sorption capability and after repeated (adsorptionidesorption)(5) cycles in batch experiments, it preserved 77% and 92% of its initial sorption capacity for the lead and nickel, respectively. Addition of nanoparticles increased the pore radius of the native PSf from 10 to 19 nm, while bovine serum albumin rejection remained unchanged at 98%. Increments in the pore size and enhancement in hydrophilicity caused to increase hydraulic permeability of the native PSf from 23 to 57 L/m(2) h bar. Cross-flow filtration studies revealed that the filtrate concentrations were inversely affected by the initial metal concentration and transmembrane pressure due to reaction limited region. Nonlinear rational regression model perfectly described the filtration behavior of the PSf10 within the experimental range and suggested that lower initial metal concentration and pressure with a short filtration time should be selected for the target response to be minimum. (C) 2017 Elsevier B.V. All rights reserved.
Databáze: OpenAIRE