Parameter-Free Determination of Au Nanorod Dimensions Using Depolarized DLS and Genetic Optimization
Nehal Nupnar, Geofrey Nyabere, Claire M. B. Bolding, Kiril A. Streletzky, Michael J. A. Hore
TL;DR
This paper introduces a new method using depolarized dynamic light scattering and genetic algorithms to accurately determine the dimensions of gold nanorods in solution without prior assumptions.
Contribution
A novel genetic algorithm approach for parameter-free determination of Au nanorod dimensions from DDLS data is introduced.
Findings
Genetic algorithm analysis of DDLS data provided AuNR length estimates consistent with TEM/SEM measurements.
The genetic algorithm outperformed analytical methods when DDLS data was noisy.
The method captures AuNR dimensions from relaxation rates alone, without needing a priori information like aspect ratio.
Abstract
Gold nanorods (AuNRs) have received considerable attention for their distinctive optical properties and well-defined, low-polydispersity dimensions. These characteristics position them as promising candidates for diverse applications in imaging, sensing, and treating diseases. However, accurate characterization of AuNRs in their native solution state, which is crucial to many applications, presents many challengesespecially if AuNRs are coated with surface layers (e.g., surfactants or grafted polymers). When applied to AuNRs with functionalized surfaces, common techniques such as transmission electron microscopy (TEM), small-angle scattering, and dynamic light scattering (DLS) can present limitations such as small sample sizes, the inability to detect light elements, a lack of a comprehensive analytical framework, and/or a dependence on a priori information about the particle…
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Taxonomy
TopicsGold and Silver Nanoparticles Synthesis and Applications · Characterization and Applications of Magnetic Nanoparticles · Plasmonic and Surface Plasmon Research