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PEGylating poly(p-phenylene vinylene)-based bioimaging nanoprobes
Martijn Peters1, Derese Desta2, Senne Seneca2
1Institute for Materials Research, Hasselt University, Wetenschapspark 1 and Agoralaan Building D, 3590 Diepenbeek, Belgium.
Journal of Colloid and Interface Science
|August 21, 2020
Summary
PEGylation of conjugated polymer nanoparticles (CNPs) maintains their bioimaging capabilities while reducing protein adsorption and cell uptake. This modification allows for tailored interactions with brain cells without compromising optical properties.
Area of Science:
- Biomaterials Science
- Nanotechnology
- Bioimaging
Background:
- Conjugated polymer nanoparticles (CNPs) offer excellent optical properties and biocompatibility for bioimaging.
- Unspecific protein adsorption on CNPs hinders their application as advanced bioimaging probes.
- Functionalized poly(p-phenylene vinylene) allows for tailored CNPs with surface groups.
Purpose of the Study:
- To PEGylate CNPs to tune their uptake by brain cell lines.
- To investigate the impact of PEGylation on CNP optical properties and protein adsorption.
- To assess the effect of PEGylation on CNP interactions with representative brain cell lines.
Main Methods:
- Fabrication of CNPs using miniemulsion solvent evaporation.
- Covalent attachment of amine-terminated polyethylene glycol (PEG) to surface carboxylic acid groups.
- Investigation of optical properties, protein adsorption, and cell uptake in CNS cell lines.
Main Results:
- PEGylation preserved the optical properties and biocompatibility of CNPs.
- A significant reduction in protein corona formation and unspecific uptake was observed.
- The extent of reduction in protein adsorption and cell uptake correlated with PEG chain length.
Conclusions:
- PEGylation is a viable strategy to enhance the performance of CNPs as bioimaging tools.
- PEGylation can be adapted to modulate biological interactions of CNPs with brain cells.
- This study presents the first evidence that PEGylation does not impair the bioimaging utility of CNPs.

