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Dual-channel optical fiber sensor based on the plasmon multimode interaction
Author(s): Meng Wu; Boyao Li; Guiyao Zhou; Zhiyun Hou; Changming Xia
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Paper Abstract

With the rapid development of life science, multi-component detection is necessary. In order to monitor the concentration of the biochemical substances simultaneously, a dual-channel biomedical sensor is proposed in this paper. Due to its sensitivity to the surrounding refractive index, there are many applications in biochemical sensing. Surface plasmons are a coupling of electromagnetic oscillations generated by electromagnetic waves and free electrons at the interfaces between metal and dielectrics. Taking into account the different plasma band of different metals, multiple signal peaks can be generated during detection to achieve multi- peak sensing. In addition, when rough analysis is performed on the analysis sample, In order to avoid the complex process of specific sample extraction, multi-component detection of the sample is necessary. Moreover, research on a micro-structured optical fiber sensor based on the plasmon mode interaction of Au/Ag films has been rarely reported. Therefore, a novel dual-channel sensor is designed considering the flexible characteristics of Photonics crystal fiber (PCF) structure, different plasma bands for Au/Ag, and the necessity of multi- component detection. The numerical results show that the core mode in PCF sensor is affected by the Surface plasmon resonance (SPR) at the Au/Ag interface simultaneously, which makes it possible to monitor multiple substances near the Au/Ag films. Meanwhile, the detection of the positive and negative amplitude sensitivities makes the sensor detection stable and it can eliminate certain external disturbances. Its excellent sensing characteristics are of great application value in environmental monitoring, biochemical sensing, etc.

Paper Details

Date Published: 14 February 2019
PDF: 8 pages
Proc. SPIE 11048, 17th International Conference on Optical Communications and Networks (ICOCN2018), 1104840 (14 February 2019); doi: 10.1117/12.2520145
Show Author Affiliations
Meng Wu, South China Normal Univ. (China)
Boyao Li, South China Normal Univ. (China)
Guiyao Zhou, South China Normal Univ. (China)
Zhiyun Hou, South China Normal Univ. (China)
Changming Xia, South China Normal Univ. (China)


Published in SPIE Proceedings Vol. 11048:
17th International Conference on Optical Communications and Networks (ICOCN2018)
Zhaohui Li, Editor(s)

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