Manchester Metropolitan University's Research Repository

    Photonic Crystal Fiber Based Biosensor for Pseudomonas Bacteria Detection: A Simulation Study

    Jahan, N, Rahman, MD M, Ahsan, Mominul, Based, Md Abdul, Rana, MM, Gurusamy, Saravanakumar and Haider, Julfikar ORCID logoORCID: https://orcid.org/0000-0001-7010-8285 (2021) Photonic Crystal Fiber Based Biosensor for Pseudomonas Bacteria Detection: A Simulation Study. IEEE Access, 9. pp. 42206-42215. ISSN 2169-3536

    Published Version
    Available under License Creative Commons Attribution.

    Download (7MB) | Preview


    The detection of microorganisms like Pseudomonas are very important as they trigger an infection in human blood, lungs, and different parts of the body causing various ailments. In this paper, a surface plasmon resonance (SPR) biosensor based on photonic crystal fiber (PCF) has been proposed to detect the presence of Pseudomonas bacteria with attractive performance characteristics. The sensor is designed using a simple circular lattice of PCF, coated with a thin chemically stable gold layer. The performance investigation of the sensor is numerically carried out by using a finite element (FE) based simulation tool where the highest wavelength and amplitude sensitivity are found as 20,000 nm/RIU and 1380 RIU −1 , respectively. The sensor shows an excellent spectral resolution of the highest value of 5.26×10−6 RIU, ensuring the capability of identifying a very small change in analyte refractive index (RI) within the range of 1.33 to 1.42. The performance investigation is also carried out altering the diameter of air holes, pitch, and gold layer thickness to explore the variation in phase matching conditions due to the change in structural parameters. As the sensor is adept at detecting the sample with high sensitivity and sensing resolution, the proposed sensor can be highly efficient in detecting Pseudomonas bacteria as well as other organic compounds, and biological analytes.

    Impact and Reach


    Activity Overview
    6 month trend
    6 month trend

    Additional statistics for this dataset are available via IRStats2.


    Actions (login required)

    View Item View Item