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Simulated annealing fitting: a global optimization method for quantitatively analyzing growth kinetics of colloidal
Siyu Wu1, Qinwei An, Yugang Sun
1Department of Chemistry, Temple University, 1901 North 13th Street, Philadelphia, Pennsylvania 19122, USA. ygsun@temple.edu.
Nanoscale Horizons
|May 17, 2021
Summary
Researchers developed a new method to precisely measure the growth rates of silver nanoparticles. This quantitative analysis helps understand the complex reactions involved in nanoparticle formation.
Area of Science:
- Materials Science
- Chemical Engineering
- Physical Chemistry
Background:
- Heterogeneous solid/liquid reactions complicate the quantitative analysis of nanoparticle growth kinetics.
- Understanding these reactions is crucial for controlling nanoparticle size and properties.
Purpose of the Study:
- To develop a quantitative method for analyzing colloidal nanoparticle growth kinetics.
- To determine key reaction parameters governing silver nanoparticle formation.
Main Methods:
- Utilized a global optimization protocol with simulated annealing fitting.
- Applied the Lifshitz-Slyozov-Wagner (LSW) growth model.
- Analyzed evolution data from microwave-assisted polyol reduction synthesis of silver nanoparticles.
Main Results:
- Accurately determined the diffusion coefficient of precursor species.
- Quantified heterogeneous reduction reaction rate parameters on silver nanoparticles.
- Established these parameters as principal functions controlling nanoparticle growth.
Conclusions:
- The developed protocol provides high-fidelity quantitative results for nanoparticle growth kinetics.
- Enables a deeper understanding of heterogeneous solid/liquid reactions in nanoparticle synthesis.
- Facilitates identification of reactive species and reaction activation energy barriers.
