Insights into the Phase Diagram of Pluronic L64 Using Coarse-Grained Molecular Dynamics Simulations

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.

Balancing loading, cellular uptake, and toxicity of gelatin-pluronic nanocomposite for drug delivery: Influence of HLB of pluronic

In this study, pluronic stabilized gelatin nanocomposite of varying hydrophilic-lipophilic balance (HLB) were synthesized to study the effect of surface hydrophobicity on their cellular uptake and in turn the delivery of a model hydrophobic bioactive compound, curcumin (CUR). Notably, the variation in HLB from 22 to 8 did not cause much change in morphology (~spherical) and surface charge (~ -6.5 mV) while marginally reducing the size of nanocomposite from 165 ± 097 nm to 134 ± 074 nm. On contrary, nanocomposites exhibited a very significant increase in their numbers, hydrophobicity as well as CUR loading with decreasing HLB values (22-8) of pluronic. Further, the cellular uptake of CUR through pluronic-gelatin nanocomposites was studied in human lung carcinoma (A549) cells. The results indicated that cellular uptake of CUR through nanocomposites followed the order HLB 22 > HLB 18 > HLB 15 > HLB 8. This was also reflected in terms of the decrease in cytotoxicity of CUR through nanocomposite of HLB 8 as compared to that of HLB 22. Interestingly, bare nanocomposite of HLB 8 showed significantly higher cytotoxicity as compared to that of HLB 22. Together these results suggested that although higher hydrophobicity of the gelatin-pluronic nanocomposite facilitated higher entrapment of CUR, the carrier per se became toxic due to its hydrophobic interaction with lipid bilayer of plasma membrane. Thus, HLB parameter is very important in designing hybrid nanocomposite systems involving protein and pluronic to ensure both bio-compatibility of the carrier and the optimum cellular delivery of the pay load.

Tuning the Properties of Active Microtubule Networks by Depletion Forces

Suspensions of microtubules and nonadsorbing particles form thick and long bundles due to depletion forces. Such interactions act at the nanometer scale and define the structural and dynamical properties of the resulting networks. In this study, we analyze the depletion forces exerted by two types of nonadsorbing particles, namely, the polymer, poly(ethylene glycol) (PEG), and the block copolymer, Pluronic. We characterize their effects both in passive and active networks by adding motor proteins to the suspensions. By exploiting its bundling effect via entropic forces, we observed that PEG generates a network with thick structures showing a nematic order and larger mesh size. On the other hand, Pluronic builds up a much denser gel-like network without a recognizable mesh structure. This difference is also reflected in the network activity. PEG networks show moderate contraction in lateral directions while Pluronic networks exhibit faster and isotropic contraction. Interestingly, by mixing the two nonadsorbing polymers in different ratios, we observed that the system showed a behavior that exhibited properties of both agents, leading to a robust and fast responsive structure compared to the single-depletant networks. In conclusion, we show how passive osmotic compression modifies the distribution of biopolymers. Its combination with active motors results in a new active material with potential for nanotechnological applications.