Design and computational analysis of photonic crystal sensor to detect acoustic signals for underwater applications using finite difference time domain algorithm

Kumar, Harvendra; Nikhil, B. K.; Sreerangaraju, M N

doi:10.1007/s41870-020-00608-4

Cited by 4 publications

(1 citation statement)

References 20 publications

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“…In contrast, the second design was rooted in advanced techniques, leading to it possessing ultra-quality factors, reasonable sensitivity, and compactness in size (9.4 × 5.5 μm 2 ). Ramanujam et al [14][15][16][17] presented a refractive index sensor based on ring core periodic structure of photonic crystal (PhC), which can be particularly used for tuberculosis blood samples. Materials for layer were selected as layer A is TiO 2 and layer B is SiO 2 , with a silicon material used around the hollow cavity to avoid changes in physical and chemical properties of real samples.…”

Section: Introductionmentioning

confidence: 99%

Optofluidic photonic crystal micro sensor for enhanced detection of infectious diseases

Sharan,

Khouqeer,

El-Badry

et al. 2023

Eng. Res. Express

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This research encompasses a comprehensive study on the application of 1D photonic crystal-based detection in the context of infectious diseases, specifically targeting malaria stages, chikungunya, and dengue. It explores the interactions between the photonic crystal and various biomolecules associated with these diseases, with a focus on platelets, plasma, and uric acid. The transmission spectrum graphs obtained from these interactions provide crucial insights into the detection and quantification of the diseases, offering real-time and label-free monitoring capabilities. Maximum sensitivity of 550 nm RIU−1 and Q factor of 29,260 obtained. Additionally, the study incorporates the design and analysis of a microfluidic channel optimized for the proposed sensor, ensuring accurate temperature and pressure distributions. The results demonstrate the feasibility of the microfluidic platform for enhancing sensor performance and fluid handling. This integrated approach shows promising potential for early disease diagnosis and monitoring, paving the way for practical implementation and further advancements in the field of sensing and diagnostics

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Section: Introductionmentioning

confidence: 99%

Optofluidic photonic crystal micro sensor for enhanced detection of infectious diseases

Sharan,

Khouqeer,

El-Badry

et al. 2023

Eng. Res. Express

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Modeling and analysis of photonic sensor based on ring resonator for glucose detection

Ambika¹,

Vanjerkhede²

2023

J Opt

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Electromagnetic properties of coal using microstrip and an algorithm based on the Nicolson-Ross-Weir method

Mancipe-Huérfano,

García-Cáceres

2024

Int. j. inf. tecnol.

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The work implements an experimental methodology to find the dielectric parameters: electrical permittivity, effective permittivity, magnetic permeability, conductivity, absorption coefficient, impedance, and loss tangent of bituminous coal from the municipality of Morcá and Tópaga belonging to the Sogamoso-Jericó sub-basin of the Guaduas formation, one of the most important coal reserves in Colombia. The methodology, known for its efficiency, includes constructing a microstrip-type circuit, measuring scattering parameters or S-parameters at frequencies between 300 kHz and 1 GHz with a vector network analyzer, and extracting electromagnetic properties using the Nicolson-Ross-Weir algorithm. The implemented algorithm allowed us to see the behavior of the coal in a fraction of the ultra-high frequency band and to find quickly and easily the approximate values of the parameters as a function of frequency, which are very important for investigations in mathematical modeling and computational electromagnetics. The results show that the real and imaginary components of the relative dielectric permittivity decrease with increasing frequency, and the absorption coefficient and the loss tangent of the coal increase as a function of frequency, indicating that the coal behaves as a dissipative dielectric.

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Design and computational analysis of photonic crystal sensor to detect acoustic signals for underwater applications using finite difference time domain algorithm

Cited by 4 publications

References 20 publications

Optofluidic photonic crystal micro sensor for enhanced detection of infectious diseases

Optofluidic photonic crystal micro sensor for enhanced detection of infectious diseases

Modeling and analysis of photonic sensor based on ring resonator for glucose detection

Electromagnetic properties of coal using microstrip and an algorithm based on the Nicolson-Ross-Weir method

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