V-Grooved Gold-Coated Photonic Crystal Fiber Sensor for Sensitivity Analysis of Tumor Detection in the Near-Infrared Region

Authors

  • Dr. Sunil Sharma GITS & NKUST
  • Prof. Chin Shiuh Shieh National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
  • Prof. Mong-Fong Horng National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
  • Dr. Riya Sen National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
  • Prof. Prasun Chakrabarti Directorate of Research and Publications and Dean International Affairs, Sir Padampat Singhania University, Rajasthan, India
  • Dr. Sandip Das Computer Science and Engineering, Brainware University, Kolkata, West Bengal, India

DOI:

https://doi.org/10.4302/plp.v17i2.1338

Abstract

The proposed study introduced a V-Grooved Gold-Coated Photonic Crystal Fiber (PCF) sensor, which exhibits top-notch performance in tumor identification when operating in the near-infrared (NIR) spectral range from 700–2500 nm. When using a V-groove structure attached to a 0.05 μm gold (Au) coating, it enhances the surface plasmon resonance (SPR) effect, which improves both light-matter interaction and sensor operational efficiency. Performance analysis in COMSOL Multiphysics demonstrated that the sensor possesses a high sensitivity of 10,714.28 nm/RIU and a resolution of 1.92 × 10⁻⁵ RIU enabling it to detect slight variations in biological tissue refractive index effectively. Response wavelength shifts were confirmed through effective mode index analysis, where strong mode confinement occurred when testing normal cells (RI = 1.35) compared to tumor-infected cells (RI = 1.40–142). The proposed PCF had its confinement loss optimized to remain below 10⁻³ dB/cm, producing minimal propagation loss while keeping optical efficiency high.

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References

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Published

2025-07-01

How to Cite

[1]
D. S. Sharma, P. C. S. Shieh, P. M.-F. Horng, D. R. Sen, P. P. Chakrabarti, and D. S. Das, “V-Grooved Gold-Coated Photonic Crystal Fiber Sensor for Sensitivity Analysis of Tumor Detection in the Near-Infrared Region”, Photonics Lett. Pol., vol. 17, no. 2, pp. 42–44, Jul. 2025.

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