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The journal of physical chemistry. B, 2022-06, Vol.126 (25), p.4731-4744
2022
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Autor(en) / Beteiligte
Titel
Insights into the Phase Diagram of Pluronic L64 Using Coarse-Grained Molecular Dynamics Simulations
Ist Teil von
  • The journal of physical chemistry. B, 2022-06, Vol.126 (25), p.4731-4744
Ort / Verlag
United States: American Chemical Society
Erscheinungsjahr
2022
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • We investigate the concentration-dependent phase diagram of pluronic L64 in aqueous media at 300 and 320 K using coarse-grained (CG) molecular dynamics (MD) simulations. The CG model is derived by adapting the Martini model for nonbonded interactions along with the Boltzmann inversion (BI) of bonded interactions from all-atom (AA) simulations. Our derived CG model successfully captures the experimentally observed micellar-, hexagonal-, lamellar-, and polymer-rich solution phase. The end-to-end distance reveals the conformational change from an open-chain structure in the micellar phase to a folded-chain structure in the lamellar phase, increasing the orientational order. An increase in temperature leads to expulsion of water molecules from the L64 moiety, suggesting an increase in L64 hydrophobicity. Thermodynamic analysis using the two-phase thermodynamics (2PT) method suggests the entropy of the system decreases with increasing L64 concentration and the decrease in free energy (F) with temperature is mainly driven by the entropic factor (−TS). Further, the increase in aggregation number at lower concentrations and self-assembly at very high concentrations is energetically driven, whereas the change from the micellar phase to the lamellar phase with increasing L64 concentration is entropically driven. Our model provides molecular insights into L64 phases which can be further explored to design functionality-based suprastructures for drug delivery and tissue engineering applications.
Sprache
Englisch
Identifikatoren
ISSN: 1520-6106
eISSN: 1520-5207
DOI: 10.1021/acs.jpcb.2c02429
Titel-ID: cdi_proquest_miscellaneous_2677575871

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