4.8 Article

Plasmonic Nanoparticle Networks for Light and Heat Concentration

期刊

ACS NANO
卷 6, 期 4, 页码 3434-3440

出版社

AMER CHEMICAL SOC
DOI: 10.1021/nn300470j

关键词

self-assembled plasmonics; two-photon luminescence; light-induced heating; gold nanoparticles

资金

  1. European Research Council (ERC) [ERC-2007-StG Nr 203872, 259196]
  2. French Agence Nationale de la Recherche [ANR-08-NANO-054-01-NAPHO, NT09-451197-PlasTips]
  3. French Ministry of Research
  4. Fundacio Privada CELLEX
  5. European Commission [248835]
  6. European Research Council (ERC) [259196] Funding Source: European Research Council (ERC)
  7. ICREA Funding Source: Custom

向作者/读者索取更多资源

Self-assembled plasmonic nanoparticle networks (PNN) composed of chains of 12 nm diameter crystalline gold nanoparticles exhibit a longitudinally coupled plasmon mode centered at 700 nm. We have exploited this longitudinal absorption band to efficiently confine light fields and concentrate heat sources in the dose vicinity of these plasmonic chain networks. The mapping of the two phenomena on the same superstructures was performed by combining two-photon luminescence and fluorescence polarization anisotropy imaging techniques. Besides the light and heat concentration, we show experimentally that the planar spatial distribution of optical field intensity can be simply modulated by controlling the linear polarization of the incident optical excitation. On the contrary, the heat production, which is obtained here by exciting the structures within the optically transparent window of biological tissues, is evenly spread over the entire PNN. This contrasts with the usual case of localized heating in continuous nanowires, thus opening opportunities for these networks in light-induced hyperthermia applications. Furthermore, we propose a unified theoretical framework to account for both the nonlinear optical and thermal near-fields around PNN. The associated numerical simulations, based on a Green's function formalism, are in excellent agreement with the experimental images. This formalism therefore provides a versatile tool for the accurate engineering of optical and thermodynamical properties of complex plasmonic colloidal architectures.

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