Document details

Arrayed graphene enhanced surface plasmon resonance for sensing applications

Author(s): Fantoni, Alessandro ; Vygranenko, Yuri ; Maçarico, António ; Serafinelli, Caterina ; Fernandes, Miguel ; Mansour, Rima ; Jesus, Rui ; Vieira, Manuela

Date: 2021

Persistent ID: http://hdl.handle.net/10400.21/13755

Origin: Repositório Científico do Instituto Politécnico de Lisboa

Subject(s): LSPR; Gold nanoparticles; Graphene; 2D materials; Color recognition


Description

Combination of carbon-based nanomaterials (CNMs) with AuNPs has been demonstrated to enhance the LSPR response and facilitate the functionalization with specific and selective antibodies. Also, the introduction of CNMs in the plasmonic layer allows tuning of the LSPR central frequency. Joining the double dependence of the LSPR on the MNPs size and the presence of CNMs, it is possible to create a set of plasmonic layers whose LSPR wavelengths are distributed in a spectral range of few tenth of nanometers. This consideration paves the way to an LSPR sensor with an arrayed structure, where each element maximizes its specific LSPR at its own wavelength. Illumination with a broad light source produces a different response in each one of the elements. The working process underlying the sensing operation is that each element of the sensor array acts like a band-stop optical filter for a specific wavelength. The output can be extracted by the application of an image analysis approach to the spatially modulated light crossing the sensor area, based on a color recognition algorithm. A change in the refractive index over the sensor array will shift the rejection band of the sensing elements. An automatized method for color recognition can support the analysis of the refractive index variations yielding the final sensor output. A figure of merit, highlighting the LSPR central wavelength and spectral extension for different LSPR configurations, is also obtained for different sizes of the AuNPs and different flavors of CNMs.

Document Type Conference object
Language English
Contributor(s) RCIPL
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