Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Beam-angle-scanning surface plasmon resonance sensor for rapid, high-precision sensing of refractive index and bio-molecules

Open Access Open Access

Abstract

Surface plasmon resonance (SPR) sensors are powerful tools for optical sensing of refractive index (RI) and bio-molecules due to their high sensitivity. In this article, we demonstrate a beam-angle-scanning SPR system using a combined galvanometer mirror and relay lens optics. Use of a photodetector in the galvanometer mirror scanning of the incident beam angle enables both high precision and rapid data acquisition. RI resolution of 2.306×10−5 refractive index unit (RIU) and RI accuracy of 8.984×10−5 RIU were achieved at a data acquisition rate of 100 Hz. Furthermore, we performed real-time monitoring of the avidin-biotin antigen-antibody reaction. The results show the high potential of this beam-angle-scanning SPR system.

© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

Full Article  |  PDF Article
More Like This
Dual polarized surface plasmon resonance refractive index sensor via decentering propagation-controlled core sensor

Abdullah Mohammad Tanvirul Hoque, Abrar Islam, Firoz Haider, Hairul Azhar Bin Abdul Rashid, Rajib Ahmed, and Rifat Ahmmed Aoni
Opt. Continuum 1(7) 1474-1488 (2022)

Highly sensitive detection of nucleocapsid protein from SARS-CoV-2 using a near-infrared surface plasmon resonance sensing system

Taira Kajisa, Taka-aki Yano, Hidenori Koresawa, Kunihiro Otsuka, Ayuko Sakane, Takuya Sasaki, Koji Yasutomo, and Takeshi Yasui
Opt. Continuum 1(11) 2336-2346 (2022)

Highly sensitive double D-shaped channel photonic crystal fiber based plasmonic refractive index sensor

M. Ifaz Ahmad Isti, M. Hussayeen Khan Anik, Samiha Nuzhat, Rubel Chandra Talukder, Sadia Sultana, Shovasis Kumar Biswas, and Hriteshwar Talukder
Opt. Continuum 1(3) 575-590 (2022)

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (6)

Fig. 1.
Fig. 1. Experimental setup. Laser, He-Ne laser; L1 and L2, lenses; P, Glan-Taylor polarizer; GM, single-axis galvanometer mirror; RL1, RL2, RL3, and RL4, relay lenses; PD, photodetector; DAQ, data acquisition board; WG, waveform generator.
Fig. 2.
Fig. 2. Comparison of SPR dip spectra between experimental data and theoretical curve. A sample is air (RI = 1 RIU).
Fig. 3.
Fig. 3. Angular spectra of SPR dip at a data acquisition rate of 1 Hz, 10 Hz, and 100 Hz when a sample is air (RI = 1 RIU).
Fig. 4.
Fig. 4. (a) Angle-SPR spectrum, (b) the corresponding sensorgram, and (c) the corresponding relation between sample RI and θSPR in RI sensing of ethanol/water samples with different mixing ratios. (d) Reproducibility of RI sensing when five different ethanol/water samples were measured.
Fig. 5.
Fig. 5. Sensorgram of θSPR in the avidin-biotin interaction when the molar concentration of avidin was increased from 1 nM to 10 µM.
Fig. 6.
Fig. 6. Angle-SPR spectrum of the pure water measured using (a) the GM-based beam-scanning angle-SPR mode and (b) the multi-channel angle-SPR mode. Experimental data and the corresponding fitting curve were indicated as a red line and a blue one, respectively. Residual of reflectance between the experimental data and the fitting curve in (c) the GM-based beam-scanning angle-SPR mode and (d) the multi-channel angle-SPR mode.

Tables (1)

Tables Icon

Table 1. Comparison of specification among the GM-based beam-scanning angle-SPR mode, the DMD-based beam-scanning angle-SPR mode, and a commercialized multi-channel angle-SPR mode

Equations (1)

Equations on this page are rendered with MathJax. Learn more.

R I = 1.3317 + 2.8 × 10 4 × E C .
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.