A Novel Dual-Channel SPR-Based PCF Biosensor for Simultaneous Tuberculosis and Urinary Tract Infection Diagnosis Toward SDG3

Divya, J.; Selvendran, S.; Itapu, Srikanth; Borra, Vamsi

doi:10.1109/access.2024.3410698

IEEE Access

2024

DOI: 10.1109/access.2024.3410698

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A Novel Dual-Channel SPR-Based PCF Biosensor for Simultaneous Tuberculosis and Urinary Tract Infection Diagnosis Toward SDG3

J. Divya,

S. Selvendran,

Srikanth Itapu

et al.

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Cited by 3 publications

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Optimized Design of Plasmonic Biosensor for Cancer Detection: Core Configuration and Nobel Material Coating Innovation

Shakya,

Ramola,

Singh

et al. 2024

Plasmonics

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Optimized Design of Plasmonic Biosensor for Cancer Detection: Core Configuration and Nobel Material Coating Innovation

Shakya,

Ramola,

Singh

et al. 2024

Plasmonics

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Enhanced Surface Plasmon Resonance Sensing via Higher-order Mode in Weakly-coupled Few-mode Photonic Crystal Fiber

Zhou,

Ren,

et al. 2024

Plasmonics

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Pareto multiobjective global optimization of plasmonic filter based on Q factor analysis

Kim,

Jun

2024

Opt. Eng.

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We propose an efficient multiobjective design approach for a plasmonic nanoslit array device based on extraordinary optical transmission using the Q factor analysis. This approach leads to a substantial reduction in computation time required for the analysis of resonance in slit array by computing the Q factor at a singular frequency, corresponding to the eigenfrequency of the dispersive wave equation, rather than by performing calculations for the overall transmission for evaluating transmission bandwidths. For rigorous numerical analysis, we investigate the optical properties of plasmonic nanoslit array devices such as transmission, return loss (RL), and Q factor using the finite element method. Furthermore, to investigate the signal distortion that the light may undergo, we calculate the group delay time and dispersion based on various structures of nanoslit array filters. Among them, the three objective functions are defined as transmission, RL, and Q factor, with slit height, slit width, and array period as design variables, respectively. Multiobjective optimization is carried out by using Pareto optimality and particle swarm optimizations. The proposed method allows us to evaluate the Q factor much faster than estimating the bandwidth from the full transmission spectrum of the periodic slit array, which significantly reduces the computational time. The Q factor analysis can be used in the multiobjective optimization process that would otherwise be impossible due to time constraints.

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A Novel Dual-Channel SPR-Based PCF Biosensor for Simultaneous Tuberculosis and Urinary Tract Infection Diagnosis Toward SDG3

Cited by 3 publications

References 68 publications

Optimized Design of Plasmonic Biosensor for Cancer Detection: Core Configuration and Nobel Material Coating Innovation

Optimized Design of Plasmonic Biosensor for Cancer Detection: Core Configuration and Nobel Material Coating Innovation

Enhanced Surface Plasmon Resonance Sensing via Higher-order Mode in Weakly-coupled Few-mode Photonic Crystal Fiber

Pareto multiobjective global optimization of plasmonic filter based on Q factor analysis

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