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Updated: Dec 14, 2025

Ligand-Mediated Nucleation and Growth of Palladium Metal Nanoparticles
Published on: June 25, 2018
A two-step biopolymer nucleation model shows a nonequilibrium critical point
Alexander I P Taylor1, Lianne D Gahan1, Buddhapriya Chakrabarti2
1Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield S10 2TN, United Kingdom.
Biopolymer nucleation involves a two-step process. This new model accounts for intermediate conversion, explaining amyloid disease mechanisms and biopolymer formation dynamics.
Area of Science:
- Biophysics
- Chemical Kinetics
- Materials Science
Background:
- Biopolymer self-assembly is complex due to monomer conformational flexibility.
- Nucleation often follows a two-step mechanism: intermediate condensation and subsequent conversion.
- This two-step nucleation is implicated in amyloid diseases like Alzheimer's and Parkinson's.
Purpose of the Study:
- To develop a mathematical model for biopolymer nucleation that incorporates simultaneous assembly and conversion dynamics.
- To address limitations of existing models that neglect conversion timescales.
- To explain experimental observations of mixed intermediates and abrupt changes in growth kinetics.
Main Methods:
- Development of a novel model explicitly accounting for simultaneous assembly and conversion.
- Proposal of an initiation-propagation mechanism for conversion, analogous to 1D Glauber dynamics.
- Analysis of competing timescales between assembly and conversion.
Main Results:
- The model predicts a nonequilibrium critical point separating unstable and accumulating intermediate regimes.
- Demonstration that conversion dynamics significantly impact the accumulation rate of the stable biopolymer phase.
- Explanation of experimental phenomena like mixed intermediate formation and scaling exponent changes.
Conclusions:
- The model provides a quantitative framework for understanding two-step biopolymer nucleation.
- It offers insights into the concentration and composition of biologically relevant intermediates.
- This work is a crucial step toward predicting the behavior of complex biopolymer systems.
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