Computational Study of a Compact and High Sensitive Photonic Crystal for Cancer Cells Detection

Miyan, Hameed; Agrahari, Rajan; Gowre, Sanjay Kumar; Mahto, Manpuran; Jain, P. K.

doi:10.1109/jsen.2022.3141124

Cited by 26 publications

(12 citation statements)

References 28 publications

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“…A range of theoretical tools, incorporating the plane-wave expansion technique, 30 the finite-difference time-domain method, 31 and the finite element method 32 may be used to predict the optical characteristics of photonic structures. In contrast, the TMM provides a straightforward and adaptable means to investigate 1D photonic structures’ optical response 18 .…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Optimization of a ternary photonic crystal biosensor for enhanced chikungunya virus detection

El Mouncharih,

Takassa,

Elfatouaki

et al. 2024

Opt. Eng.

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The chikungunya virus (CHIKV), transmitted by mosquitos, induces severe symptoms such as joint pain, headaches, and exhaustion, necessitating swift diagnosis and intervention. In this investigation, the transfer matrix method is employed to enhance virus detection using a ternary photonic crystal (PC) biosensor across normal and infected blood constituents-plasma, platelets, red blood cells, and uric acid. These components possess distinctive refractive indices crucial for the biosensor's selective CHIKV detection. A peak sensitivity of 800 nm∕RIU at N ¼ 4 is achieved by analyzing PC transmittance spectrum curves in the presence of diverse blood elements to emulate real-world conditions. Optimal average sensitivity at 1037.5 nm∕RIU is observed at incidence angles of 30 deg, 55 deg, and 80 deg, with 30 deg yielding the highest quality factor of 1015.94. This PC-based biosensor exhibits promise for compact, highly sensitive, and precise virus detection, potentially advancing viral detection biosensor technology and enhancing diagnostic tools for infectious diseases.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Optimization of a ternary photonic crystal biosensor for enhanced chikungunya virus detection

El Mouncharih,

Takassa,

Elfatouaki

et al. 2024

Opt. Eng.

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“…Inserting equations ( 1) and ( 2) in ( 3) and (4), we find the two sets of field equations. The first set is TE mode [15] (E y , H x , H z ) and the second set is TM mode (E x , H y , E z ). The designed PC has wide PBG in TM mode and the relevant equations are:…”

Section: Formulation Of 2d-plane Wave Expansionmentioning

confidence: 99%

“…PCs are employed for detecting neurological damage and other sensory disorders in the human body caused by highly toxic mercury ions [14]. Further, a PC-based sensor for the detection of cancerous cells has also been reported [15]. All reported biosensors are based on label-free detection types of PC-based biosensors in which the resonant wavelength changes with the change in the biological targets that are bound to the PC's surface.…”

Section: Introductionmentioning

confidence: 99%

Computational study of 2D photonic crystal based biosensor for SARS-COV-2 detection

Miyan

Agrahari

Gowre³

et al. 2023

Meas. Sci. Technol.

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A computational study to design a 2D-photonic crystal (PC) structure with a fluorescence-based biosensor has been demonstrated for the detection of the SARS-COV-2 virus in the lungs. The proposed sensor can detect the different concentrations of the virus without any pretreatment of the sample. The virus detection is performed by measuring the mid-gap wavelength from the dispersion diagram and a redshift in the mid-gap wavelength has been observed as the concentration of virus increases in the lung tissue. The plane wave expansion (PWE) method is used to determine the dispersion diagram of the proposed PC. The interaction of incident light with the proposed PC-based biosensor has been analyzed to evaluate the shift in the mid-gap wavelength. A maximum sensitivity of about 1459.3 nm/RIU is obtained for r/a=0.45 with a mid-gap wavelength shift of 145.93 nm at =1.49 concentration of SARS-COV 2. Moreover, a very-small detection time has been observed with the proposed device as compared to conventional methods. This study provides a simple process to detect the presence of a virus within a short period and could be helpful in the development of a direct and easy-to-use portable detection kit in the future.

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“…1D-PC structures can be classified into binary, ternary, quaternary, and other categories depending on the number of layers present in period. 6 The optical properties of photonic structures may be predicted using a variety of theoretical tools, such as the plane-wave expansion method, 7 the finite-difference time-domain method, 8 and the finite element method. 9 The transfer matrix method (TMM), on the other hand, is a straightforward and adaptable tool for investigating the optical characteristics of 1D photonic structures.…”

Section: Introductionmentioning

confidence: 99%

One-dimensional photonic crystal-based biosensor for the detection of glucose concentration in human urine

et al. 2023

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A biosensor structure based on a ternary photonic crystal (TPC) containing a defect is designed and simulated. This proposed biosensor detects the concentration of glucose in human urine. Based on the transfer matrix method, we theoretically studied the transmission spectra through the TPC presuming blood samples with different refractive indices (RIs) infiltrated into the defect layer of the proposed structures. By varying the concentration of glucose in the urine, the RI of the urine is changed, which in turn changes the sensor's output response; both transmission response and resonance wavelength are affected. We evaluated average sensitivity (S) for the number of periods at different values N for optimization purposes. Our results show that the biosensor has performance parameters for a period value N ¼ 6. Indeed, a value of 1033 nm of full width at half maximum photonic bandgap can be observed with a S of 965 nm∕RIU. The quality factor is 1892.542 and the figure of merit is 756.86 RIU −1 . The proposed biosensor can be a miniaturized structure with extreme sensitivity in the concentration of glucose detection models © 2023 Society of Photo-Optical Instrumentation Engineers (SPIE)

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Computational Study of a Compact and High Sensitive Photonic Crystal for Cancer Cells Detection

Cited by 26 publications

References 28 publications

Optimization of a ternary photonic crystal biosensor for enhanced chikungunya virus detection

Optimization of a ternary photonic crystal biosensor for enhanced chikungunya virus detection

Computational study of 2D photonic crystal based biosensor for SARS-COV-2 detection

One-dimensional photonic crystal-based biosensor for the detection of glucose concentration in human urine

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