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Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy
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A modeling approach for quantitative assessment of interfacial interaction between two rough particles in colloidal
1Green Processes Research Centre and Chemical Engineering Department, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B5E1, Canada.
Journal of Colloid and Interface Science
|December 28, 2020
Summary
Simulating rough particle interactions reveals that increased surface roughness and aspect ratio weaken interfacial energy, promoting aggregation. Particle size increases interaction energy, with asperity ratio being key for controlling colloidal systems.
Area of Science:
- Colloid and Surface Science
- Materials Science
- Computational Modeling
Background:
- Accurate simulation of rough particle surfaces is crucial for understanding colloidal systems.
- Existing models lack sufficient detail for simulating interfacial interactions between rough particles.
- Interfacial energy between rough particles is hypothesized to depend on surface morphology.
Purpose of the Study:
- To develop mathematical models for predicting interfacial energy between rough particles.
- To investigate the influence of surface morphology on particle interactions.
- To provide insights into particle aggregation and dispersion in colloidal systems.
Main Methods:
- Developed mathematical models based on the extended Derjaguin-Landau-Verwey-Overbeek (XDLVO) theory.
- Incorporated the rippled particle theory and the surface element integral (SEI) method.
- Simulated three distinct particle interaction scenarios, varying aspect ratio, size, and surface roughness.
Main Results:
- Increased aspect ratio and surface roughness reduce total interaction energy, promoting particle aggregation.
- Larger particle size leads to increased interaction energy.
- Asperity ratio demonstrated a greater influence on interfacial energy than asperity number.
Conclusions:
- The developed models accurately predict interfacial interactions of rough particles.
- Findings offer significant applications in controlling particle coagulation and dispersion.
- Surface morphology parameters are critical for managing colloidal system behavior.
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