Fiber-optic plasmonic probe with nanogap-rich Au nanoislands for on-site surface-enhanced Raman spectroscopy using repeated solid-state dewetting

Kwak, Juhyoun; Lee, Wonkyoung; Kim, Jae‐Beom; Bae, Sunghan; Jeong, Ki-Hun

doi:10.1117/1.jbo.24.3.037001

Cited by 24 publications

(19 citation statements)

References 33 publications

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“…An interesting technique has been developed by De Almeida et al [ 32 ] and others [ 33 ] to grow thin metallic layers on the top of optical fiber surfaces and dewet them thermally to form nano-islands. These configurations, as seen in Figure 4 , were used for LSPR and SERS applications and will be discussed more in detail in the following sections of this paper.…”

Section: Solid-state Dewetting Of Thin Metal Films: Principle and mentioning

confidence: 99%

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Gold Nano-Island Platforms for Localized Surface Plasmon Resonance Sensing: A Short Review

et al. 2020

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Nano-islands are entities (droplets or other shapes) that are formed by spontaneous dewetting (agglomeration, in the early literature) of thin and very thin metallic (especially gold) films on a substrate, done by post-deposition heating or by using other sources of energy. In addition to thermally generated nano-islands, more recently, nanoparticle films have also been dewetted, in order to form nano-islands. The localized surface plasmon resonance (LSPR) band of gold nano-islands was found to be sensitive to changes in the surrounding environment, making it a suitable platform for sensing and biosensing applications. In this review, we revisit the development of the concept of nano-island(s), the thermodynamics of dewetting of thin metal films, and the effect of the substrate on the morphology and optical properties of nano-islands. A special emphasis is made on nanoparticle films and their applications to biosensing, with ample examples from the authors’ work.

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Section: Solid-state Dewetting Of Thin Metal Films: Principle and mentioning

confidence: 99%

“… Fiber-optic plasmonic probe for surface-enhanced Raman scattering (SERS) with nanogap-rich Au nano-islands on the top surface of the fiber (modified from Kwak [ 33 ], free to read and use under the Creative Commons License). …”

Section: Figurementioning

confidence: 99%

Gold Nano-Island Platforms for Localized Surface Plasmon Resonance Sensing: A Short Review

et al. 2020

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“…For example, while NIR can be used for the thermo-plasmonic neural stimulation, visible range of light can be used for either optogenetics, SPR biosensors, or surface-enhanced Raman spectroscopy when multiple types of plasmonic nanoparticles are incorporated. [19][20][21]36 The thermo-plasmonic optical fiber developed in this work is expected to be applicable to in vivo brain models similarly as the optogenetics stimulation methods. Compared to optogenetics, NIR laser in this thermo-plasmonic optical fiber technology required slightly higher power.…”

Section: Discussionmentioning

confidence: 99%

Thermoplasmonic Optical Fiber for Localized Neural Stimulation

Kang

Hong

et al. 2020

ACS Nano

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Thermo-plasmonic effect based neural stimulation has been suggested as an alternative optical neural stimulation technology without genetic modification. Integration of near infrared light with plasmonic gold nanoparticles has been demonstrated as a neuromodulation tool on in vitro neuronal network models. In order to further test the validity of the thermo-plasmonic neural stimulation across multiple biological models (in vitro, ex vivo, and in vivo) avoiding genetic modification in optical neuromodulation, versatile engineering approaches to apply the thermoplasmonic effect would be required. In this work, we developed a gold nanorod attached optical fiber technology for the localized neural stimulation based on thermo-plasmonic effect. A simple fabrication process was developed for efficient nanoparticle coating on commercial optical fibers. The thermo-plasmonic optical fiber proved that it can locally modulate the neural activity in vitro. Lastly, we simulated the spatiotemporal temperature change by the thermo-plasmonic optical fiber and analyzed its applicability to in vivo animal models.

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“…For instance, the localized surface plasmon resonance can be tuned by controlling the surface morphology, nanoparticle size, and space between nanoparticles to obtain an optimum surface-enhanced Raman spectroscopy signal from the metal nanostructures at the target wavelength [22]. Additionally, plasmonic hotspots can be intensified using nanostructures with narrow gaps on a fiber-top surface [23].…”

Section: Introductionmentioning

confidence: 99%

Controlling Equilibrium Morphologies of Bimetallic Nanostructures Using Thermal Dewetting via Phase-Field Modeling

Kwak¹,

Kim²

2021

Materials

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Herein, we report a computational model for the morphological evolution of bimetallic nanostructures in a thermal dewetting process, with a phase-field framework and superior optical, physical, and chemical properties compared to those of conventional nanostructures. The quantitative analysis of the simulation results revealed nano-cap, nano-ring, and nano-island equilibrium morphologies of the deposited material in thermal dewetting, and the morphologies depended on the gap between the spherical patterns on the substrate, size of the substrate, and deposition thickness. We studied the variations in the equilibrium morphologies of the nanostructures with the changes in the shape of the substrate pattern and the thickness of the deposited material. The method described herein can be used to control the properties of bimetallic nanostructures by altering their equilibrium morphologies using thermal dewetting.

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Fiber-optic plasmonic probe with nanogap-rich Au nanoislands for on-site surface-enhanced Raman spectroscopy using repeated solid-state dewetting

Cited by 24 publications

References 33 publications

Gold Nano-Island Platforms for Localized Surface Plasmon Resonance Sensing: A Short Review

Gold Nano-Island Platforms for Localized Surface Plasmon Resonance Sensing: A Short Review

Thermoplasmonic Optical Fiber for Localized Neural Stimulation

Controlling Equilibrium Morphologies of Bimetallic Nanostructures Using Thermal Dewetting via Phase-Field Modeling

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