Predictive Framework for Dynamic Control of Protein-Nanoparticle Assembly
January 24, 2022
Top. The assembly of 10 nm silica nanoparticles by a homo-bifunctional silica-binding protein is reversibly controlled by switching the solution pH between 7.5 and 8.5, as demonstrated by DLS (left) and FRET experiments (right).
Bottom. Schematic illustration of the theoretical framework. Silica nanoparticles assembled by proteins in a pH 7.5 solution (left) are depicted by interacting colloidal spheres at the collective scale (middle) with protein-nanoparticle interactions derived from the atomic scale (right).
Integration of theory, simulations, and experiments across length scales reveals that a delicate interplay of interactions between proteins and nanoparticles controls reversible self-assembly over a narrow range of pH.
Significance and Impact
Our theoretical framework connects targeted microscopic details to collective macroscopic outcomes, opening opportunities for predictive synthesis of nature-inspired hierarchical materials.
Colloidal theory captures long-range interactions between silica nanoparticles.
Molecular simulations and consideration of the curvature effect capture critical protein-nanoparticle short-range interactions.
USAXS experiments validate predictions of the theoretical framework at the collective scale.