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Solvent-mediated nonelectrostatic ion-ion interactions predicting anomalies in electrophoresis
Prakash Goswami1, Jayabrata Dhar1, Uddipta Ghosh1
1Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India.
This study reveals that including nonelectrostatic interactions in models of charged particle movement accurately predicts experimental velocities. This resolves discrepancies in electrophoretic mobility predictions and explains mobility reversal phenomena.
Area of Science:
- Physical Chemistry
- Colloid Science
- Electrokinetics
Background:
- Electrophoretic mobility is crucial for understanding charged particle behavior in fluids.
- Existing models, like Henry's approach, often underpredict particle velocity.
- The role of nonelectrostatic interactions in electrophoretic mobility is not fully understood.
Purpose of the Study:
- To investigate the impact of solvent-mediated nonelectrostatic ion-ion interactions on electrophoretic mobility.
- To develop an analytical solution for electrophoretic mobility incorporating these interactions.
- To compare the new model with the standard Henry's approach and experimental data.
Main Methods:
- Linearization of governing equations for low surface electrostatic potential.
- Derivation of a closed-form analytical solution for electrophoretic mobility.
- Comparison of theoretical results with experimental observations and Henry's model.
Main Results:
- The proposed model, including nonelectrostatic interactions, accurately predicts particle velocity, resolving experimental discrepancies.
- Nonelectrostatic interactions significantly alter electrophoretic mobility compared to standard models.
- The model explains the observed phenomenon of electrophoretic mobility reversal.
Conclusions:
- Accounting for solvent-mediated nonelectrostatic ion-ion interactions is essential for accurate electrophoretic mobility prediction.
- The developed analytical solution provides a more robust framework for understanding electrokinetic phenomena.
- This work reconciles theoretical predictions with experimental findings, particularly regarding mobility reversal.
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