A phase-field model for solutions of DNA-made particles
Marco Cappa1, Francesco Sciortino1, Lorenzo Rovigatti1
1Dipartimento di Fisica, Sapienza Università di Roma, P.le Aldo Moro 5, 00185 Rome, Italy.
The Journal of Chemical Physics
|May 15, 2025
Summary
We developed a phase-field model to study DNA nanostar self-assembly and phase separation. This model accurately predicts liquid-liquid phase separation and structural organization in complex DNA systems.
Area of Science:
- Biophysics
- Materials Science
- Computational Chemistry
Background:
- DNA nanostars are promising building blocks for advanced materials.
- Understanding their self-assembly and phase behavior is crucial for designing functional nanomaterials.
- Previous models often lack the accuracy to capture complex thermodynamic properties.
Purpose of the Study:
- To develop and validate a phase-field model for investigating phase separation in DNA nanostar systems.
- To accurately capture the thermodynamic properties of self-assembling DNA nanostars using a realistic free-energy functional.
- To explore both one-component and multi-component DNA nanostar systems.
Main Methods:
- Utilized the Cahn-Hilliard equation as the basis for the phase-field model.
- Incorporated a realistic free-energy functional derived from Wertheim theory.
- Performed numerical simulations for one-component and multi-component systems, including mixtures with cross-linkers.
Main Results:
- The model successfully replicates experimental observations of liquid-liquid phase separation in DNA nanostar systems.
- Demonstrated accurate prediction of surface tension variations and structural organization in multi-component systems.
- The Cahn-Hilliard framework proved versatile for complex systems, offering a computationally efficient alternative to detailed simulations.
Conclusions:
- The developed phase-field model provides a robust and predictive framework for studying DNA nanostar self-assembly and phase behavior.
- This approach facilitates the design and understanding of DNA-based materials for nanotechnology and biophysics.
- The model's ability to simulate complex systems opens new avenues for exploring phenomena like liquid-liquid phase separation in cellular environments.
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