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Supported liquid membrane along with carbon nanotubes and nano graphene oxide for the separation of Cu(II) ions using tributyl phosphate(TBP) as carrier: Optimization by D-optimal surface response methodology and artificial neural networks coupled genetic algorithm(ANN-GA)

عنوان مقاله: Supported liquid membrane along with carbon nanotubes and nano graphene oxide for the separation of Cu(II) ions using tributyl phosphate(TBP) as carrier: Optimization by D-optimal surface response methodology and artificial neural networks coupled genetic algorithm(ANN-GA)
شناسه ملی مقاله: MRSS01_036
منتشر شده در کنگره ملی شیمی ونانو شیمی از پژوهش تا توسعه ملی در سال 1396
مشخصات نویسندگان مقاله:

Naghmeh Araghi - Department of Chemistry, North Tehran Branch, Tehran, Iran.
Vahid Kiarostami - Department of Chemistry, North Tehran Branch, Tehran, Iran
Mehdi Maham - Department of chemistry, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.

خلاصه مقاله:
The present study describes s transportation of Cu(II) ions across supported liquid membrane system containing Tributyl phosphate (TBP) as carrier which was impregnated on to the Teflon supported membrane(PTFE) incorporated with carbon nanotube and nano graphene oxide as sorbent interface. The best organic solvent and the operating conditions of the extraction and stripping for Cu(II) ions has been evaluated by one factor at a time(OFAT) method. The influences of several variables, including Cu(II) ions concentration, percentage of Tributyl phosphate (as Carrier), PH and sulfuric acid concentration were also studied using artificial neural networks-genetic algorithm( ANNGA) and D- optimal response surface methodology to transport of Cu(II) ions from the feed to Stripping phase in supported liquid membrane system(SLM). Comparison of the results achieved using proposed models, showed the ANN-GA was better than the RSM model for prediction of ransportation of Cu(II) ions using Teflon membrane impregnated with TBP with extraction efficiency of 50% and stripping efficiency of 70% with fitness function value of 0.3057. Using ANN-GA, optimum conditions were set at 25, 2.5, 7 and 1 for Cu(II) ions concentration(ppm), percentage of Carrier (%), pH and sulfuric acid concentration(M), respectively. Then 0.02 g of carbon nanotubes and nano graphene oxide were added separately and the proposed procedure was carried out. The results showed that with addition of mentioned nano materials, the extraction and stripping efficiency increased to 70 and 69%, respectively, for carbon nanotubes and 65 and 90% for nano graphene oxide. The present study showed that the developed SLM can be applied effectively to extract Cu(II) ions from aqueous solutions

کلمات کلیدی:
Supported liquid membrane, Tributyl phosphate, Cu(II), Carbon nanotube, Nano graphene oxide

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/718134/