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Updated: Aug 5, 2026

Injectable Supramolecular Polymer-Nanoparticle Hydrogels for Cell and Drug Delivery Applications
Published on: February 7, 2021
Protocol-Dependent Effects on Colloidal Characterization and Drug Loading/Release Analysis of Thermosensitive
José López-Molina1, Alba Garrido-Rodríguez1, María Tirado-Miranda1
1Biocolloid and Fluid Physics Group, Applied Physics Department, University of Granada, Granada 18071, Spain.
Methodological refinements improve characterization of thermosensitive poly(N-isopropylacrylamide-co-acrylic acid) (PNIPAM-co-COOH) microgels. Accurate drug loading and release analysis are achieved by addressing protocol-dependent effects and experimental biases.
Area of Science:
- Polymer Science
- Materials Science
- Nanotechnology
Background:
- Thermosensitive microgels, like PNIPAM-co-COOH, are promising for drug delivery.
- Accurate characterization is crucial for understanding their behavior and optimizing performance.
- Existing methods can be influenced by experimental protocols, leading to inaccuracies.
Purpose of the Study:
- To analyze protocol-dependent effects on microgel characterization and drug delivery.
- To quantify and minimize experimental biases in analyzing thermosensitive microgels.
- To establish a robust framework for reliable microgel analysis.
Main Methods:
- Dynamic Light Scattering (DLS) with drift correction
- 3D-DLS combined with Static Light Scattering (SLS)
- Transmission Electron Microscopy (TEM), Atomic Force Microscopy (AFM)
- Nanoparticle Tracking Analysis (NTA), Laser Diffraction (LD)
Main Results:
- Standard DLS underestimates collapsed radius by 18% due to thermal convection.
- 3D-DLS and SLS accurately describe thermal collapse, swelling, and core-corona structure.
- Drug loading efficiency is maximized near the volume phase transition temperature.
- Dialysis requires free-drug blanks for accurate drug release kinetics.
Conclusions:
- Methodological refinements are essential for accurate characterization of thermosensitive microgels.
- Optimized protocols reduce experimental bias in colloidal and drug delivery studies.
- The established framework can be applied to other soft nanocarriers.
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