Catalytic Reduction of SO2 with CO Over Fe/TiO2 Catalysts: Effect of Pre-sulfurization and Plasma
摘要
Sulfur dioxide (SO2) emissions, a major source of air pollution, can be effectively mitigated through catalytic reduction to elemental sulfur using carbon monoxide (CO). In this study, Fe loaded TiO2 catalysts were synthesized and subsequently subjected to pre-sulfurization treatment under varied conditions. Their catalytic performance was evaluated in SO2 reduction for thermal and dielectric barrier discharge (DBD) plasma enhanced thermal catalysis. The results showed that OFS-Fe/TiO2 catalyst with oxygen-free sulfurization (OFS) treatment exhibited the highest catalytic activity, achieving above 90% SO2 conversion between 250 and 550 °C under oxygen-assisted reaction (OAR), along with long-term stability under 40–60% water vapor. However, the SO2 conversion were below 20% for Fe/TiO2 and oxygen-assisted sulfurization OAS-Fe/TiO2 catalysts within 250 to 400 °C. Notably, the significantly enhanced catalytic performance of the OFS-Fe/TiO2 catalyst was probably attributed to the high dispersion of Fe over nano-TiO2, the lower Fe2+/Fe3+ ratio, and the formation of active FeS2 species detected by SEM-EDS, XPS and TPD techniques. Furethermore, a conversion efficiency exceeding 90% was maintained throughout 80 to 550 °C under DBD plasma reaction over POFS-Fe/TiO2 catalyst with room-temperature DBD plasma oxygen-free sulfurization treatment, surpassing thermal catalysis performance. The significantly enhanced low-temperature activity of plasma catalysis was attributed to the lowest Fe2+/Fe3+ ratio, together with the transformation of FeS2 into FeS, generating more sulfur vacancies. In-situ DRIFTS experiments confirmed two distinct SO2 adsorption and reduction mechanisms between Fe/TiO2 and OFS-Fe/TiO2 catalysts. The results demonstrate that pre-sulfurization and plasma modification serve as an effective catalytic strategy to enhance CO-mediated SO2 reduction, offering a sustainable emission control approach through sulfur resource utilization.
Graphical Abstract