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Saeid Amani Komaei

Saeid Amani Komaei

Academic rank: Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Science
Address: Arak University
Phone:

Research

Title
Tailoring the electrochemical properties of ED ion exchange membranes based on the synergism of TiO2 nanoparticles-co-GO nanoplates
Type
JournalPaper
Keywords
TiO2 nanoparticles-co-GO nanoplates; Mixed matrix; Ion exchange; Electrodialysis; Transport behavior; Synergetic influence
Year
2017
Journal Journal of Colloid and Interface Science
DOI
Researchers Seyed mohsen Hosseini ، Elham Jashni ، Saeid Amani Komaei ، Bart Van der Bruggen

Abstract

In this paper, the synergetic influence of various weight ratios of TiO2 nanoparticles (NPs)/graphene oxide nanoplates (GONs) in the matrix of ion exchange membranes was examined in order to adapt their electrokinetic properties based on the combination of the high specific surface area of GONs and the antifouling ability of TiO2 nanoparticles. The morphology, physico-chemical features and ionic transport behavior of prepared membranes was studied. Scanning optical microscopy (SOM) and scanning electron microscopy (SEM) images showed a uniform surface for the lab-made membranes relatively. It was found that surface hydrophilicity of the membrane was increased in the presence of GONs and TiO2 NPs. All modified membranes showed a higher water uptake than unmodified membranes. Furthermore, a higher ion exchange capacity, fixed ionic concentration, ionic permeability and flux were observed for all modified membranes in comparison with unmodified membranes. The membrane potential, transport number and selectivity improved in NaCl solutions by using GONs and TiO2 nanoparticles. Furthermore, the membrane ionic conductivity showed an increasing trend by utilizing TiO2-co-GONs NPs. As an overall conclusion, the modified membrane containing 3 wt% GONs and 1 wt% TiO2 NPs with superior transport number and permselectivity (∼99%), highest current density and cation flux and the lowest areal electrical resistance (∼4–5 Ω cm2) showed the best performance.