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Revisiting Colloid Theory for Biomedicine: Reconciling Simple Models in Complex Environments
Jin Gyun Lee1,2, C Wyatt Shields1,3,4
1Department of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO 80303, United States.
ACS Nano Medicine
|August 11, 2026
Summary
Classical colloidal science models like Derjaguin-Landau-Verwey-Overbeek (DLVO) need biological adaptation. Understanding protein corona and soft interfaces is key for predictable nanoparticle behavior in vivo.
Area of Science:
- Colloidal science
- Biomedical engineering
- Nanotechnology
Background:
- Classical colloidal theories (e.g., DLVO) predict particle interactions in controlled environments.
- Biological systems present complex, dynamic conditions not fully addressed by traditional models.
- Nanoparticles designed using classical assumptions often exhibit unpredictable behavior in vivo.
Purpose of the Study:
- To reframe colloidal science for biological applications.
- To highlight the importance of protein corona and soft interfaces in physiological environments.
- To guide the design of clinically relevant nanomaterials.
Main Methods:
- Review and integration of colloidal science principles with biological system complexities.
- Emphasis on protein adsorption layers and macromolecular crowding.
- Analysis of nanoparticle interactions with soft, charged, and crowded biological interfaces.
Main Results:
- Particle behavior in physiological media is primarily governed by protein corona formation.
- Interactions are significantly influenced by soft interfaces (e.g., tumors, mucus) and crowding.
- Traditional colloidal models require extension to accurately predict in vivo nanoparticle behavior.
Conclusions:
- Integrating colloidal science and biomedical engineering is crucial.
- Standardizing characterization techniques for nanoparticles in biological media is necessary.
- Prioritizing interface-driven research will enable predictive and clinically relevant nanomaterial design.
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