Seyed Ali Hosseini - Assistant Professor, Department of Applied Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran
Sirus Nouri - Professor, Department of Applied Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran
Sajad Hashemi - Ph.D. Candidate, Department of Applied Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran
Mansour Akbari - Ph.D. Candidate, Department of Applied Chemistry, Faculty of Chemistry, Urmia University, Urmia, Iran

The removal of sulfur compounds from petroleum is extremely necessary for industrial andenvironmental reasons. Sulfur in transportation fuels is a major air pollution source. In this work, theefficiency of nanostructured Ni-clinoptilolite adsorbent was investigated in the removal of sulfur fromgas oil. For this purpose, the design of experiments was performed by selecting effective factors indesulfurization process. Response surface methodology was selected to model the desulfurizationprocess. Ni-containing nanoadsorbents were prepared by a wet-impregnation method. Gas oil modelcontaining 300 ppmW sulfur was prepared by dissolving a calculated amount of dibenzothiophene(DBT) in n-decane. The concentration of DBT in n-decane was determined by UV-Visiblespectrophotometer. The results revealed that sulfur removal extremely depended on the amount ofmetal and the nature of both metal and support. 5% Ni/support adsorbent resulted in higher sulfurremoval efficiency. The optimum ratio of H2O2 to gas oil in the studied conditions was in the range of5% (v/v) and 240 minutes for the best desulfurization performance during the process.

Desulfurization, Clinoptilolite, Nickel Supported Nanoadsorbent, Response Surface Methodology, Optimization