Improved plasmonic resonance by Gaussian beam shaping

Etxebarria-Elezgarai, Jaione; Molinuevo, Carlos Rodriguez; Carmen, Marina Echave del; Corrillero, Eneko Lopez; Azkarate-Askatsua, Ion Olaetxea; Morant‐Miñana, Maria C.; Seifert, Andreas

doi:10.1109/omn.2019.8925162

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“…Characteristic parameters of a typical SPR curve in Kretschmann configuration: maximum extinction A , steepest slope S min , angle at the steepest slope θ S min , resonance angle θ SPR , curvature at resonance κ, and angular distance between the steepest slope and resonance Δθ SPR – S min .…”

Section: Materials and Methodsmentioning

confidence: 99%

“…A customized SPR system is built in Kretschmann configuration using a semicylindrical coupling prism for angle interrogation, as shown in Figure S7a. 24 The system consists of a p-polarized monochromatic He−Ne laser source (λ = 632.8 nm, HRS015B, Thorlabs, USA), a Faraday rotator (IO-2D-633-VLP, Thorlabs), a beam shaping refractive component (LB1904 biconvex lens, Thorlabs), a beam splitter for a reference signal and SPR detector (CCM1-BS013/M, Thorlabs), and a semicylindrical coupling prism (Schott N-SF57, n SF57 = 1.8395 at λ = 633 nm, Crysmit Photonics, China) that is housed on a rotating platform (M-060.DG DC, PI miCos, Spain). The rotating platform is mounted together with a prism holder to ensure a completely centered and reproducible placing of the coupling prism.…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

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Gaussian Beam Shaping and Multivariate Analysis in Plasmonic Sensing

et al. 2020

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This work demonstrates a novel strategy to improve the sensing performance of a prism-coupled surface plasmon resonance system by Gaussian beam shaping and multivariate data analysis. The propagation of the beam along the optical system has been studied using the Gaussian beam approximation to design the incident beam such that the beam waist is aligned precisely and that stability is assured at the metal−dielectric interface. This renders a collimated incident beam, hence least angular dispersion, yielding a stronger and sharper plasmonic resonance. Moreover, we use the multivariate analysis method partial least squares that combines multiple features of the surface plasmon resonance curve and allows for a more precise analysis of the plasmonic response. Compared to univariate analysis, partial least squares improves typical sensing performance parameters remarkably. The combination of both aspects, beam shaping and multivariate analysis, overcomes current limitations of plasmonic detection systems. Thereby, we improve analytical sensitivity by a factor of 16, decrease the prediction error of the concentration of an unknown analyte by a factor of 11, and enhance resolution to the order of 5 × 10 −7 RIU in angular interrogation.

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Section: Materials and Methodsmentioning

confidence: 99%

Section: ■ Materials and Methodsmentioning

confidence: 99%