Spinel (Mn, Fe)3O4 Nanocatalyst for the Catalytic Ozone Decomposition under Humid Conditions
Source abstract
Abstract
The development of ozone-decomposition catalysts with high efficiency and exceptional resistance to humidity is a significant challenge, as ozone is a primary air pollutant. This study successfully synthesized a series of Mn x Fe 3– x O 4 catalysts with varying crystal structures by adjusting the Mn/Fe molar ratios through a coprecipitation method with inorganic salt precursors. Compared to crystalline Mn 3 O 4 and Fe 2 O 3, the obtained amorphous MnFe 2 O 4 (MnFe-1) nanocatalyst exhibited an optimal ozone conversion rate of 99.9% for 50 ppm O 3 with a space velocity (SV) of 600 L g –1 h –1 in dry gas and 77.4% for 50 ppm O 3 with a SV of 600 L g –1 h –1 under a relative humidity (RH) of 60%. The superior performance of the amorphous sample can be attributed not only to its smaller size and larger surface area but also to the presence of Mn 3+ as the active site, a higher number of oxygen vacancies and acid sites, and the synergistic effect between iron and manganese. This research offers a universally applicable preparation method for nanosized spinel oxides and provides an in-depth exploration of the ozone-decomposition mechanism.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Catalytic Processes in Materials Science · Advanced Photocatalysis Techniques · Nanomaterials for catalytic reactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Resources and Environmental Engineering, Jiangsu University of Technology, Changzhou, Jiangsu 213000, China
State Key Laboratory of Advanced Special Steel, School of Materials Science and Engineering, International Joint Laboratory of Catalytic Chemistry, College of Sciences, Shanghai University, Shanghai 200444, China
Funding
Jiangsu University of Technology · Natural Science Foundation of Jiangsu Province · Zhongwu Scientific Research Air Pollution Detection Team
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