Citation:
Haiqiang Lin, Weizheng Weng, Jingdong Lin, Mingshu Chen, Xueming Fang, Lefu Yang. Diverse Variables-Driven Catalytic Optimization: Experimental Enhancement and Instructional Design for Selective Methane Oxidation on Supported Nickel-based Catalysts[J]. University Chemistry,
;2025, 40(11): 327-336.
doi:
10.12461/PKU.DXHX202505106
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The comprehensive chemistry experiment titled “Selective Oxidation of Methane over Supported Nickel-Based Catalysts” has been systematically optimized through the introduction of key variables, including ammonia-assisted impregnation and support pretreatment. Through a complete experimental workflow encompassing catalyst preparation, performance evaluation, temperature-programmed reduction characterization, and physical/chemical adsorption measurements, students gain practical insights into how support purification via acid-washing and ammonia-assisted impregnation for enhanced metal dispersion significantly improves the catalytic performance of Ni/SiO2. This approach enables students to comprehensively understand the multifaceted factors influencing catalytic performance and stimulates their interest in exploring the complex mechanisms of catalytic chemistry. The enhanced experiment effectively addresses the limitations of traditional experiments, such as content monotony and insufficient comparative dimensions, demonstrating excellent efficacy in teaching practice.
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