Removal of Methyl Orange Dye by Absorbent Carbon Nanotubes with Response Surface Experimental Design and Genetic Algorithm

Publish Year: 1397
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ISOC26_158

تاریخ نمایه سازی: 2 شهریور 1398

Abstract:

Water pollution, as a result of inadequate discharge of urban and industrial wastewater, thepresence of toxic contaminants and inappropriate management of solid waste, seriously affectshuman health. Considering the huge volume of wastewater produced, efforts to achieveproper disposal of sewage in the environment are necessary [1,2]. The evacuation of coloredwastewater from various industries such as textiles, paper, wood, cosmetics, agriculture, plasticsand leather will cause severe environmental problems. Among the industries mentioned,the textile industry has the highest consumption and produces a large volume of wastewaterwith a high concentration of color in the range of 10-200 mg.L-1 [3,4]. The purpose of thisstudy was to optimize methyl Orange dye removal from aqueous solutions by carbon nanotubeusing Response Surface Method and Central Composite Design methods and GeneticAlgorithms. The batch experiment was conducted to evaluate the effects of independent variablessuch as pH, dye concentration, dose of sorbent and contact time. For the experiment,Response Surface and Central Composite Design methods were applied to evaluate the effectsof these variables. Analysis of variance (ANOVA) was used for statistical analysis. The optimumconditions for basic methyl orange dye removal were pH = 2, dye concentration = 20,absorbent dose = 0.009g and contact time = 20 min. The verified model is Quadratic and Rsquaredvalue of this Study was obtained to be 95.49%, The R-Squared Adjusted was obtainedto be 90.63% and The Squared predicted R2 was obtained to be 65.71%. Investigationof the isotherm and kinetic models showed that the experimental data were correlated withLangmuir adsorption isotherm model (R2 = 0.9334) and pseudo-second order kinetic (R2 =0.9998). The equation obtained from CCD with genetic algorithm was studied and optimalconditions were obtained with this software. Finally, the water of the city of Omidieh wasstudied.

Authors

Ebtesam Saadi

Department of Chemistry, Omidiyeh branch, Islamic Azad University, Omidiyeh, Iran

Mina Hosseiny Sabzevari

Department of Chemistry, Omidiyeh branch, Islamic Azad University, Omidiyeh, Iran