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Updated: Nov 20, 2025

Characterizing Single-Molecule Conformational Changes Under Shear Flow with Fluorescence Microscopy
Published on: January 25, 2020
Crowded solutions of single-chain nanoparticles under shear flow
Maud Formanek1, Angel J Moreno2
1Centro de Física de Materiales (CSIC, UPV/EHU) and Materials Physics Center MPC, Paseo Manuel de Lardizabal 5, E-20018 San Sebastián, Spain. angeljose.moreno@ehu.es and Sainsbury Laboratory, University of Cambridge, 47 Bateman Street, Cambridge CB2 1LR, UK.
Single-chain nanoparticles (SCNPs) exhibit unique responses to shear flow, differing significantly from linear polymer chains. Their behavior in solution is highly dependent on concentration and shear rate, revealing distinct scaling regimes.
Area of Science:
- Polymer physics
- Soft matter science
- Computational materials science
Background:
- Single-chain nanoparticles (SCNPs) are formed by intramolecular cross-linking of individual polymer chains, creating ultrasoft objects.
- Understanding the behavior of SCNPs under external forces is crucial for designing advanced materials.
Purpose of the Study:
- To investigate the effects of shear flow on the structural and dynamic properties of SCNPs in semidilute and concentrated solutions.
- To elucidate the influence of shear rate and polymer concentration on SCNP behavior.
Main Methods:
- Utilizing computer simulations that incorporate hydrodynamic interactions.
- Analyzing conformational and dynamic properties of SCNPs across various shear rates and concentrations.
Main Results:
- Identified power-law scaling laws governing SCNP behavior under shear flow.
- Observed distinct concentration-dependent scaling regimes for SCNPs, unlike linear polymer chains.
- Documented complex non-monotonic swelling behavior of SCNPs under shear, contrasting with linear chains.
Conclusions:
- SCNP response to shear flow is fundamentally different from linear chains due to topological constraints and permanent cross-links.
- These findings offer insights into the unique mechanical properties and solution behavior of SCNPs.
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