首页> 外文期刊>International journal of chemical engineering >Investigation of Influential Parameters in Deep Oxidative Desulfurization of Dibenzothiophene with Hydrogen Peroxide and Formic Acid
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Investigation of Influential Parameters in Deep Oxidative Desulfurization of Dibenzothiophene with Hydrogen Peroxide and Formic Acid

机译:用过氧化氢和甲酸的二苯并噻吩深氧化脱硫的影响参数研究

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An effective oxidative system consisting of hydrogen peroxide, formic acid, and sulfuric acid followed by an extractive stage were implemented to remove dibenzothiophene in the simulated fuel oil. The results revealed such a great performance in the case of H2O2in the presence of formic and sulfuric acids that led to the removal of sulfur compounds. Sulfuric acid was employed to increase the acidity of media as well as catalytic activity together with formic acid. The oxidation reaction was followed by a liquid-liquid extraction stage using acetonitrile as a polar solvent to remove produced sulfones from the model fuel. The impact of operating parameters including the molar ratio of formic acid to sulfur (nF/nS), hydrogen peroxide to sulfur (nO/nS), and the time of reaction was investigated using Box-Behnken experimental design for oxidation of the model fuel. A significant quadratic model was introduced for the sulfur removal as a function of effective parameters by the statistic analysis.
机译:实施了一种有效的氧化系统,由过氧化氢,甲酸和硫酸,然后进行萃取阶段,以除去模拟燃料油中的二苯并噻吩。结果表明,在H 2 O 2中的情况下表明了这种甲醛和硫酸的存在,导致除去硫化合物。使用硫酸以增加培养基的酸度以及含有甲酸的催化活性。使用乙腈作为极性溶剂之后,氧化反应之后是液 - 液提取阶段,以从模型燃料中除去产生的砜。使用Box-Behnken实验设计研究了包括甲酸与硫(NF / NS),过氧化氢(NF / NS)的摩尔比,过氧化氢的氢(NO / NS)的影响,以及反应时间,用于氧化模型燃料。通过统计分析引入了硫去除的硫去除了显着的二次模型。

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