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DendriPep Nanocoats: Substrate-Agnostic, Self-Assembling Constructs with Shear-Controlled Thickness and Permeability.

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Hybrid poly(amidoamine)-peptide dendrimers (DendriPeps) form shear-responsive Nanocoats for particle encapsulation. These Nanocoats enable controlled particle clustering and drug delivery, demonstrating potential for reconfigurable biomedical systems.

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Area of Science:

  • Materials Science
  • Nanotechnology
  • Biomedical Engineering

Background:

  • Dendrimers are branched macromolecules with tunable properties.
  • Shear-responsive materials offer dynamic control over assembly and disassembly.
  • Encapsulation and controlled release are key challenges in drug delivery.

Purpose of the Study:

  • To investigate the self-assembly of hybrid poly(amidoamine)-peptide dendrimers (DendriPeps) into shear-responsive Nanocoats.
  • To assess the material-agnostic coating capabilities of DendriPeps on diverse substrates.
  • To explore the application of Nanocoats in particle clustering and controlled payload delivery.

Main Methods:

  • Synthesis of hybrid poly(amidoamine)-peptide dendrimers (DendriPeps).
  • Formation and characterization of Nanocoats on various nanoparticles, microgels, and biological entities using spectroscopic and microscopic techniques.
  • Evaluation of shear-induced particle clustering and payload release kinetics.

Main Results:

  • DendriPeps self-assemble into nanometric-thick, vesicle-like Nanocoats on diverse materials.
  • Nanocoat formation and particle clustering are dynamically controlled by shear stress.
  • Controlled release of an antibacterial peptide (polymyxin B) from Nanocoat-coated microgels was achieved at specific shear stresses.

Conclusions:

  • DendriPep Nanocoats exhibit versatile material-agnostic coating capabilities.
  • Shear stress provides a tunable mechanism for controlling Nanocoat assembly, particle aggregation, and payload delivery.
  • These reconfigurable DendriPep systems hold promise for advanced biomedical applications utilizing localized shear gradients.