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Optimization of lead ions adsorption on hydrolyzed polyacrylonitrile fibers using central composite design
Texas A&M University, Department of Material Science and Engineering, College Station, TX 77843, USA.
University West, Department of Engineering Science, Division of Subtractive and Additive Manufacturing.ORCID iD: 0000-0001-6610-1486
Amirkabir University of Technology, Department of Mining and Metallurgical Engineering,Tehran, Iran, 15875-4413.
2017 (English)In: Desalination and Water Treatment, ISSN 1944-3994, E-ISSN 1944-3986, Vol. 83, 133-143 p.Article in journal (Refereed) Published
Abstract [en]

Optimization of lead ions (Pb++) adsorption on the hydrolyzed polyacrylonitrile (PAN) fibers was reported by using statistical approach. Electrospinning of PAN solutions in dimethylformamide (DMF) was performed with different concentrations. The electrospun fibres, with various diame-ters, were then hydrolyzed in a sodium hydroxide solution (NaOH) for different reaction times and temperatures. Response surface methodology (RSM) helped optimizing the hydrolysis reaction con-ditions to maximize the adsorption capacity of the PAN fibers. The maximum value of adsorption capacity was experimentally determined to be 141 mg/g with the optimized values of hydrolysis reaction time, temperature and fiber diameter being 61.6°C, 82.1 min and 280 nm, respectively. The as-prepared electrospun fibers, hydrolyzed fibers and fibers after adsorption process were charac-terized by scanning electron microscope (SEM). Experimental adsorption data fit very well with the Langmuir isotherm model. It was found that Pb++ ions adsorption on the nanofibers was 20 times higher than that on microfibers under the same conditions. Adsorption kinetics followed the second order kinetics model. © 2017 Desalination Publications. All rights reserved.

Place, publisher, year, edition, pages
Desalination Publications , 2017. Vol. 83, 133-143 p.
National Category
Chemical Process Engineering Paper, Pulp and Fiber Technology
Research subject
ENGINEERING
Identifiers
URN: urn:nbn:se:hv:diva-11910DOI: 10.5004/dwt.2017.21063Scopus ID: 2-s2.0-85031312872OAI: oai:DiVA.org:hv-11910DiVA: diva2:1166166
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Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2017-12-14Bibliographically approved

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Karimi Neghlani, Paria

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