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Anisotropic DLVO-like interaction for charge patchiness in colloids and proteins
Andraž Gnidovec1, Emanuele Locatelli2,3, Simon Čopar1
1Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia.
Electrostatic interactions govern soft and biological matter. This study introduces a robust theoretical framework for describing interactions between inhomogeneously charged particles, merging different models for accurate results.
Area of Science:
- Soft and biological matter physics
- Colloid and interface science
- Theoretical electrochemistry
Background:
- Electrostatic interactions are crucial for the behavior and stability of soft and biological matter.
- Particles in electrolytic solutions acquire charges, influencing their interactions.
- Inhomogeneous charge distributions on particles lead to complex interaction landscapes and assembly phenomena, challenging existing models.
Purpose of the Study:
- To develop a theoretical framework for describing electrostatic interactions between inhomogeneously charged particles.
- To bridge different electrostatic models and provide a robust DLVO-like description.
- To enable accurate and computationally affordable modeling of complex particle interactions.
Main Methods:
- Building upon the linearized Poisson-Boltzmann theory.
- Developing a theoretical framework that merges distinct electrostatic models.
- Matching single-particle properties of different mean-field models to compare interaction energies.
Main Results:
- A robust DLVO-like description of electrostatic interactions between inhomogeneously charged particles was achieved.
- Quantitative agreement in pair interaction energies was found across a wide range of system parameters.
- The proposed framework successfully merges different models of inhomogeneously charged particles.
Conclusions:
- The study provides a strategy to merge different electrostatic models for inhomogeneously charged particles.
- This approach offers a reliable, accurate, and computationally affordable method for describing particle interactions.
- The findings advance the understanding of electrostatic interactions in soft and biological matter.
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