Relating structure and composition with accessibility of a single catalyst particle using correlative 3-dimensional...

Area of Science:

• Materials Science
• Chemical Engineering
• Analytical Chemistry

Background:

• Understanding hierarchically structured functional materials requires tools that analyze details across multiple length scales.
• Single analytical methods are often insufficient for a comprehensive understanding of material processes.
• Catalyst deactivation due to metal poisoning is a critical issue in many industrial applications.

Purpose of the Study:

• To develop and demonstrate a correlative imaging approach for analyzing individual catalyst particles.
• To investigate the impact of metal poisoning on the pore structure and mass transport within a catalyst particle.
• To create a model that simulates catalyst aging based on metal accumulation and its effect on pore networks.

Main Methods:

• Correlative three-dimensional (3D) X-ray imaging at different length scales.
• Analysis of metal poisoning in an individual catalyst particle.
• Development of a macro-pore network model to interpret metal accumulation and mass transport resistance.
• Simulation of virtual catalyst particle aging.

Main Results:

• The correlative approach provided detailed insights into structural and chemical changes within the catalyst particle.
• Metal accumulations were identified as a significant resistance to mass transport.
• A functional macro-pore network model was established, capable of simulating catalyst aging.
• The study offers an unprecedented view of dynamic changes in material pore space.

Conclusions:

• The combined 3D X-ray imaging technique offers a powerful tool for analyzing functional porous materials.
• The developed model aids in understanding and predicting catalyst performance degradation.
• This approach is crucial for the rational design of advanced functional porous materials with improved durability and efficiency.