LIU Xueping, XU Jinchun, SHI Kaiwen, et al. Preparation of Cu-Fe loaded molecular sieve catalyst by ultrasonication and its catalytical oxidation performance for toluene. [J]. Low-Carbon Chemistry and Chemical Engineering
DOI:
LIU Xueping, XU Jinchun, SHI Kaiwen, et al. Preparation of Cu-Fe loaded molecular sieve catalyst by ultrasonication and its catalytical oxidation performance for toluene. [J]. Low-Carbon Chemistry and Chemical Engineering DOI: 10.12434/j.issn.2097-2547.20230223.
Preparation of Cu-Fe loaded molecular sieve catalyst by ultrasonication and its catalytical oxidation performance for toluene
Volatile organic compounds(VOCs) are important ingredients of air pollutants, which can cause serious harm to ecological environment and human health, so it is particularly important to design and prepare efficient catalysts to degrade VOCs. As catalysts for commercial application, molecular sieve exhibits the advantages of excellent stability and high resistance to toxicity. However,due to the poor catalytic activity of single molecular sieve, loading active components is needed to further improve the catalytic performance. Cu-Fe/ZSM-5, Cu-Fe/Beta and Cu-Fe/SAPO-34 catalysts were prepared by ultrasonic method using different molecular sieves(ZSM-5, Beta and SAPO-34) as carriers simultaneously loaded with Cu and Fe transition metal oxides and used for the catalytic oxidation of toluene. The results of catalytic activity test show that Cu-Fe/ZSM-5 catalyst possesses excellent catalytic activity, with the conversion rate of toluene up to 90% at 300 ℃. The X-ray diffraction(XRD) analysis results show that the molecular sieves simultaneously loaded with Cu and Fe metal oxides do not cause obvious damage to the molecular sieve structure, and the metal oxides have good dispersion. The results of NH,3, temperature programming(NH,3,-TPD) analysis show that acidity is not the only factor affecting catalytic activity. The results of in situ diffuse reflection infrared(in situ DRIFT) and chromatography-mass spectrometry(GC-MS) analysis show that the less intermediates are generated on the catalyst with better catalytic activity, while more intermediates are generated on the catalyst with poor catalytic activity.