چكيده به لاتين
The rapid development of industry has introduced various chemical pollutants into our lives, including bio waste, pesticides, explosives, antibiotics and organic dyes, which are harmful to the environment and human health. Untreated industrial and agricultural wastewater contains toxic metals, agricultural pesticides, pathogenic microbes, organic dyes and so on. Among these compounds, 4-nitrophenol with high toxicity has received special attention because in the medical industry, pesticides and synthetic dyes are widely used while affecting human health. Treatment of 4-nitrophenol in industrial and agricultural wastewater is immediate and significant due to the toxic effects of 4-nitrophenol on the nervous system, organs, blood of humans and animals. At present, noble metal catalysts have been used to catalyze the hydrogenation of 4-nitrophenol. Catalytic reduction of 4-nitrophenol to 4-aminophenol (non-toxic) is performed in the presence of a reducing agent such as sodium borohydride and a suitable catalyst. Noble metal nanoparticles (NPs), such as gold, platinum, silver and palladium, are eligible options due to their superior stability and high surface-to-volume ratio. Zeolite-imidazole frameworks (ZIFs) are a new topology of metallic zeolite with complex ion transfer metal ions with imidazole ligand. Such a structure has properties such as high stability and high porosity, which are usually used as hard molds in the preparation of carbon materials. In this research, we have been able to synthesize the ZIF-67 nanoporous metal-organic framework by using the ball mill synthesis method at a certain time and frequency.Then fertilize platinum metal in the nanopores of this structure through fertilization method; As a result, we used the synthetic compound as a catalyst in the presence of sodium boron hydride reducing agent to eliminate the toxicity of 4-nitrophenol compounds during a catalytic reduction process. We also investigated the reduction of the toxic compound reduction of 4-nitrophenol by surface response modeling (RSM) method in five levels and achieved good and acceptable results in this field.
