Single Layer Coating Photonic Crystal Fiber Biosensor based on Surface Plasmon Resonance 
P Vinod Kumar1, Snivash2, Mohammed Fahimullah A3, K Vinay Gokul4
1P Vinod Kumar, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2S Nivash, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Mohammed Fahimullah A, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4K Vinay Gokul, Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 01 September 2019 | Manuscript Published on 14 September 2019 | PP: 63-66 | Volume-8 Issue-5S3, July 2019 | Retrieval Number: E10160785S319/19©BEIESP | DOI: 10.35940/ijeat.E1016.0785S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper is a demonstration for the design of photonic crystal fiber biosensor which is based on the phenomenon of surface plasmon resonance. The plasmonic coating covers the outer layer of the Photonic Crystal fiber to ease the fabrication process, we choose Gold. To quantitatively measure the represented design, we utilize a technique called as the Finite element method (FEM). To accomplish the sensitivities of 4300nm/RIU and 408.468 RIU-1 we apply the methodologies of wavelength and amplitude interrogation models. This design yielded a resolution of 2.33×10-5 respectively. A fluctuation from 1.33 to 1.39 in the analyte refractive index can be identified and measured by this design. The sensing range of the design is wide and may also be used in biological detection.
Keywords: Biosensor, Resolution, PCF, SPR.
Scope of the Article: Cross-Layer Optimization