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Flash NanoPrecipitation for the Encapsulation of Hydrophobic and Hydrophilic Compounds in Polymeric Nanoparticles
Published on: January 7, 2019
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Solvent Controls Nanoparticle Size during Nanoprecipitation by Limiting Block Copolymer Assembly
Giovanni Bovone1, Lucien Cousin1, Fabian Steiner1
1Macromolecular Engineering Laboratory, Department of Mechanical and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland.
Macromolecules
|October 3, 2022
Summary
Polymeric nanoparticle size is controlled by the solvent used during nanoprecipitation. The solvent limits polymer assembly and growth, enabling precise engineering of nanoparticle dimensions.
Area of Science:
- Materials Science
- Nanotechnology
- Polymer Chemistry
Background:
- Controlling nanoparticle (NP) properties, especially size, is crucial for biomedical and engineering applications.
- Nanoprecipitation is a common method for producing polymeric NPs, involving rapid mixing of a block copolymer solution with a nonsolvent.
- The influence of solvent choice on NP size is empirically observed but mechanistically unclear.
Purpose of the Study:
- To elucidate the mechanism by which solvents control polymeric nanoparticle size during nanoprecipitation.
- To identify the role of solvent properties in limiting block copolymer assembly and NP growth.
Main Methods:
- Investigated the effect of solvent on block copolymer assembly during nanoprecipitation.
- Analyzed polymer aggregation dynamics and growth via polymer exchange.
- Developed and utilized an a priori model based on spinodal decomposition to explain size control.
Main Results:
- Solvent choice dictates NP size by limiting block copolymer assembly and subsequent growth.
- Polymer aggregates form dynamic structures that grow through polymer exchange until growth arrest.
- A solvent-specific critical water fraction determines the point of growth arrest, thereby setting the final NP size.
Conclusions:
- The solvent's critical water fraction directly controls the extent of dynamic growth, ultimately determining nanoparticle size.
- The proposed mechanism, supported by a spinodal decomposition model, allows for prediction of NP size scaling.
- This understanding facilitates more efficient engineering of polymeric nanoparticles for targeted applications.
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