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Selecting High-Performance Gold Nanorods for Photothermal Conversion
Túlio de L Pedrosa1, Sajid Farooq2, Renato E de Araujo1
1Laboratory of Biomedical Optics and Imaging, Federal University of Pernambuco, Recife 50740-540, Brazil.
Nanomaterials (Basel, Switzerland)
|December 11, 2022
Summary
Researchers developed a new method to find the best metallic nanostructures for photothermal applications. Optimal designs for gold nanorods were identified for efficient light-to-heat conversion using specific laser types and dimensions.
Area of Science:
- Nanotechnology
- Materials Science
- Biomedical Engineering
Background:
- Photothermal applications rely on metallic nanostructures for efficient light absorption and heat generation.
- Optimizing nanostructure design is crucial for maximizing photothermal conversion efficiency.
Purpose of the Study:
- Establish a new paradigm for identifying optimal arbitrarily shaped metallic nanostructures for photothermal applications.
- Appraise crucial thermo-optical parameters governing plasmonic heating.
- Explore nanoparticle size-dependence for optimization.
Main Methods:
- Investigated thermo-optical parameters influencing plasmonic heating.
- Employed a nanoparticle size-dependence approach.
- Evaluated gold nanorods as a case study for infrared photothermal conversion in water.
Main Results:
- Identified two distinct figures of merit (FoM) for optimizing metallic nanoheaters under femtosecond and continuum laser excitation.
- Found efficient photothermal conversion for small-volume gold nanorods under femtosecond pulses.
- Determined optimal gold nanorod dimensions for continuous wave excitation: 90 × 25 nm (800 nm) and 150 × 30 nm (1064 nm).
- Observed up to 700% FoM variations for structures with the same peak wavelength.
Conclusions:
- Quantifying FoM enables rational design of high-performance plasmonic nanoparticles for localized photothermal applications.
- The study provides a framework for optimizing nanostructure design based on specific excitation conditions and desired outcomes.

