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Published on: May 9, 2014
Spontaneous nucleation on flat surface by depletion force in colloidal suspension
Nobutomo Nakamura1, Yuto Sakamoto2, Hirotsugu Ogi3
1Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japan. nobutomo@me.es.osaka-u.ac.jp.
Sedimentation of colloidal particles forms crystals. Adding polymers increases spontaneous nucleation and decreases grain size, showing surface interactions are key for nucleation control.
Area of Science:
- Colloid science
- Materials science
- Surface chemistry
Background:
- Colloidal crystals form via sedimentation of particles onto surfaces.
- Polymer-induced depletion forces influence colloidal interactions.
- Understanding nucleation is crucial for controlling crystal structure.
Purpose of the Study:
- Investigate polymer-induced depletion forces on colloidal nucleation during sedimentation.
- Determine the effect of polymer concentration on nucleation and crystal growth.
- Clarify the role of particle-surface interactions versus particle-particle interactions in nucleation.
Main Methods:
- Experimental observation of colloidal particle sedimentation on a flat surface.
- Systematic variation of polymer concentration to induce attractive depletion forces.
- Analysis of polycrystalline colloidal crystal formation, grain size, and contact angle.
- Numerical reproduction of the nucleation process using rate equations.
Main Results:
- Sedimentation yields polycrystalline colloidal crystals.
- Above a threshold polymer concentration, spontaneous nucleation increases, reducing grain size.
- No dependence of contact angle on polymer concentration was observed.
- Particle-surface interactions significantly influence spontaneous nucleation.
Conclusions:
- Attractive depletion forces, modulated by polymer concentration, control colloidal crystal nucleation and grain size.
- Surface interactions play a dominant role in spontaneous nucleation, more so than inter-particle forces.
- The nucleation process can be accurately modeled using rate equations, providing a predictive tool.
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