Journal
PHYSICAL REVIEW E
Volume 80, Issue 6, Pages -Publisher
AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.80.061901
Keywords
hydrogels; Lennard-Jones potential; Monte Carlo methods; self-assembly; stochastic systems; tissue engineering
Categories
Funding
- Direct For Mathematical & Physical Scien
- Division Of Mathematical Sciences [800612] Funding Source: National Science Foundation
- NHLBI NIH HHS [R01 HL092836, R01 HL092836-02S1, R01 HL092836-02, R01 HL092836-01A1] Funding Source: Medline
- NIDCR NIH HHS [RL1 DE019024-01, RL1 DE019024, RL1 DE019024-03, RL1 DE019024-02, RL1 DE019024-03S1] Funding Source: Medline
- PHS HHS [102864] Funding Source: Medline
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Recent progress in bottom-up tissue engineering has demonstrated that three-dimensional tissue constructs with predefined architectures may be obtained by assembling shape-controlled hydrogels in multiphase reactor systems. Driven by the hydrophobic force between gel unit and liquid media, highly ordered hydrogel clusters can be formed. Many complex factors occurring at microscale (i.e., gel unit collisions, hydrophobic forces, and gel unit movement) are involved in the self-assembly process. In this paper a two-dimensional off-lattice Monte Carlo model with Lennard-Jones-type potential describing unit-unit interactions is introduced for studying this process. Simulations are shown to agree well with the experimental results for hydrogel assembly in mineral oil. The simulation method is demonstrated for rectangular hydrogel units of different aspect ratios as well as extended to the case of more complex hydrogel unit geometries.
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