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A Microfluidic-based Hydrodynamic Trap for Single Particles
Published on: January 21, 2011
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Kinetic trapping of nanoparticles by solvent-induced interactions
Troy Singletary1, German Drazer2, Amy C Marschilok3,4,5,6
1Mechanical Engineering Department, Stony Brook University, Stony Brook, NY 11794, USA. carlos.colosqui@stonybrook.edu.
Nanoscale
|February 20, 2024
Summary
Solvent forces can trap nanoparticles near surfaces, a phenomenon not explained by DLVO theory. A new model predicts nanoparticle kinetic trapping or direct contact using measurable properties.
Area of Science:
- Colloid and Surface Science
- Nanotechnology
- Physical Chemistry
Background:
- The Derjaguin-Landau-Verwey-Overbeek (DLVO) theory is the standard model for describing nanoparticle-surface interactions.
- DLVO theory does not account for solvent-induced structural forces, which can be significant at nanoscale separations.
- Understanding these forces is crucial for controlling nanoparticle assembly and stability.
Purpose of the Study:
- To investigate the role of solvent-induced interactions in nanoparticle-surface interactions.
- To develop a predictive model for nanoparticle kinetic trapping and direct contact.
- To provide a framework applicable to various materials and solvents.
Main Methods:
- Theoretical analysis using mean field theory.
- Development of a simple analytical model incorporating solvent-induced forces.
- Validation through molecular dynamics simulations and numerical solutions of the Smoluchowski diffusion equation.
Main Results:
- Solvent-induced structural forces can lead to kinetic trapping of nanoparticles at finite separations from surfaces.
- The proposed model accurately predicts conditions for both direct particle-surface contact and kinetic trapping.
- Model predictions were successfully verified by independent simulation methods.
Conclusions:
- Solvent-induced interactions are a critical factor in nanoparticle-surface dynamics, extending beyond DLVO theory.
- The developed analytical model offers a practical tool for predicting nanoparticle behavior using experimentally accessible parameters.
- This work enhances the understanding of nanoparticle adhesion and stability in various solvent environments.

