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Reconstitution of Basic Mitotic Spindles in Spherical Emulsion Droplets
Published on: August 13, 2016
Random sequential adsorption of Pickering particles onto spherical emulsion droplet surfaces
Yi Feng1, Giulia Del Duca1, Antonio Buffo1
1Politecnico di Torino, Department of Applied Science and Technology, Torino, Italy.
Pickering emulsions, crucial for food and pharma, are better understood using a new random sequential adsorption (RSA) model. This model accurately predicts particle adsorption on emulsion droplets, even for complex particle shapes.
Area of Science:
- Colloid and Surface Science
- Materials Science
- Computational Chemistry
Background:
- Pickering emulsions are increasingly used in pharmaceuticals and food for their stability and low toxicity.
- Particle adsorption at the emulsion interface is key to emulsion properties but complex for non-spherical particles.
- Existing models often simplify particle shape and surface interactions, limiting predictive accuracy.
Purpose of the Study:
- To develop and validate a new model for random sequential adsorption (RSA) of particles onto emulsion droplet surfaces.
- To investigate the influence of particle shape (spherical vs. elongated), size, and interfacial properties on adsorption.
- To propose an improved available surface function (ASF) and generalized coverage evolution models.
Main Methods:
- Monte Carlo (MC) simulations were employed to model the RSA process for both spherical and elongated particles.
- Investigated parameters included particle polydispersity, droplet-to-particle size ratio, contact angle, and particle concentration.
- Response surface methodology was used to establish generalized coverage evolution models based on simulation data.
Main Results:
- A novel coverage-dependent exponent for the available surface function (ASF) was proposed, outperforming fixed-exponent models.
- For capsule-shaped particles (aspect ratio ε=2), higher coverage and faster adsorption rates were observed.
- Generalized models showed high accuracy, with mean absolute percentage errors below 2.63% for spherical and 6.58% for elongated particles.
Conclusions:
- The developed RSA model and proposed ASF expression accurately predict particle adsorption on curved emulsion droplet surfaces, considering particle shape.
- The findings provide a more robust theoretical framework for designing stable Pickering emulsions with specific functionalities.
- This work enhances the understanding of interfacial phenomena in complex colloidal systems relevant to various industrial applications.
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