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Dagallier A, Boulais E, Boutopoulos C, et al. Multiscale modeling of plasmonic enhanced energy transfer and cavitation around laser-excited nanoparticles. Nanoscale. 2017;9(9):3023-3032doi: 10.1039/c6nr08773f.
Dagallier, A., Boulais, E., Boutopoulos, C., Lachaine, R., & Meunier, M. (2017). Multiscale modeling of plasmonic enhanced energy transfer and cavitation around laser-excited nanoparticles. Nanoscale, 9(9), 3023-3032. https://doi.org/10.1039/c6nr08773f
Dagallier, Adrien, et al. "Multiscale modeling of plasmonic enhanced energy transfer and cavitation around laser-excited nanoparticles." Nanoscale vol. 9,9 (2017): 3023-3032. doi: https://doi.org/10.1039/c6nr08773f
Dagallier A, Boulais E, Boutopoulos C, Lachaine R, Meunier M. Multiscale modeling of plasmonic enhanced energy transfer and cavitation around laser-excited nanoparticles. Nanoscale. 2017 Mar 02;9(9):3023-3032. doi: 10.1039/c6nr08773f. PMID: 28182187.
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Nanoscale. 2017 Mar 02;9(9):3023-3032. doi: 10.1039/c6nr08773f.

Multiscale modeling of plasmonic enhanced energy transfer and cavitation around laser-excited nanoparticles.

Nanoscale

Adrien Dagallier, Etienne Boulais, Christos Boutopoulos, Rémi Lachaine, Michel Meunier

Affiliations

  1. Laser Processing and Plasmonics Laboratory, Department of Engineering Physics, Polytechnique Montréal, Montreal, Quebec H3C 3A7, Canada. [email protected].
  2. Laser Processing and Plasmonics Laboratory, Department of Engineering Physics, Polytechnique Montréal, Montreal, Quebec H3C 3A7, Canada. [email protected] and Laboratory of Biosensors and Nanomachines, Department of Chemistry, Montreal, Quebec H3T 1J4, Canada.
  3. Laser Processing and Plasmonics Laboratory, Department of Engineering Physics, Polytechnique Montréal, Montreal, Quebec H3C 3A7, Canada. [email protected] and SUPA, School of Physics and Astronomy, University of St. Andrews, North Haugh, St. Andrews, KY16 9SS, UK.

PMID: 28182187 DOI: 10.1039/c6nr08773f

Abstract

Nanoscale bubbles generated around laser-excited metallic nanoparticles are promising candidates for targeted drug and gene delivery in living cells. The development of new nanomaterials for efficient nanobubble-based therapy is however limited by the lack of reliable computational approaches for the prediction of their size and dynamics, due to the wide range of time and space scales involved. In this work, we present a multiscale modeling framework that segregates the various channels of plasmon de-excitation and energy transfer to describe the generation and dynamics of plasmonic nanobubbles. Detailed comparison with time-resolved shadowgraph imaging and spectroscopy data demonstrates that the bubble size, dynamics, and formation threshold can be quantitatively predicted for various types of nanostructures and irradiation parameters, with an error smaller than the experimental uncertainty. Our model in addition provides crucial physical insights into non-linear interactions in the near-field that should guide the experimental design of nanoplasmonic materials for nanobubble-based applications in nanomedicine.

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