Au-TiO<sub>2</sub> Coated Photonic Crystal Fiber Based SPR Refractometric Sensor for Detection of Cancerous Cells

Chaudhary, Vijay Shanker; Kumar, Dharmendra; Kumar, Santosh

doi:10.1109/tnb.2022.3219104

Cited by 60 publications

(7 citation statements)

References 37 publications

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“…The outer layer of the fiber is made of gold coating, and the ligands, which are biological receptors, stick to the blood cells, and according to the changes in the RI, the healthy cell or diabetes cell is determined. PCF sensor can be made by stack and draw and die-cast method [47,48]. Figure 7(b) shows the preform for fabrication of the proposed sensor.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

Design and numerical analysis of a highly sensitive nano-layer coated photonic crystal fiber biosensor

2023

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In this paper, a highly sensitive diabetes detection sensor based on photonic crystal fiber-gold plasmonic material is designed, proposed and analyzed. In this sensor, the application of a gold thin film increases the operating wavelength range (400 nm–1200 nm). The analyte, which is the cell, is placed outside the sensor and makes it easy to fabricate. The proposed sensor detects healthy and diabetic cells based on the refractive indices. Moreover, full-transistor modeling is presented to detect the probability of diabetes. In this model, healthy persons, persons with a low risk of diabetes and persons with a high risk of diabetes are diagnosed. Numerical results show that the proposed biosensor has a maximum amplitude sensitivity of 2127.7 RIU−1, amplitude resolution of 4.69 × 10−6 RIU, maximum wavelength sensitivity of 21 000 nm RIU−1 and wavelength resolution of 4.76 × 10−7 RIU.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Design and numerical analysis of a highly sensitive nano-layer coated photonic crystal fiber biosensor

2023

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“…A comparison between the proposed V-shaped cancer detection sensor with the previously reported sensors in (Sani et al 2022), (Verma, Kumar and Jindal, 2022), (Chaudhary, Kumar and Kumar, 2022), (Rajeswari and Revathi 2022), (Yasli 2021), (Jabin et al 2019), (Ayyanar et al 2018), (Mollah et al 2020), (Ramanujam et al 2019), (Jindal et al 2016), (Abdelghaffar et al 2022) and (Ramanujam et al 2019), (Singh and Prajapati 2023), (Almawgani et al 2022), (Malek et al 2022), (Yasli 2022), (Nayak 2023) is depicted in Table 6. It is evident that the sensitivity of the proposed early cancer detection biosensor is greater than the introduced biosensors in (Jabin et al 2019), (Ayyanar et al 2018), (Ramanujam et al 2019), (Jindal et al 2016), (Sani et al 2022), (Almawgani et al 2022), (Malek et al 2022), (Yasli 2022) (Nayak 2023) (Abdelghaffar et al 2022)and (Ramanujam et al 2019).…”

Section: Fabrication Tolerance Studymentioning

confidence: 99%

“…The reported biosensor achieves sensitivity of 4139.24 nm/RIU (Malek et al 2022). Additionally, SPR PCF biosensor with gold (Au) and titanium dioxide ( TiO 2 ) coated layers was proposed for different cancer cell detection with sensitivities of 9428.57 nm/RIU, 10,714.28 nm/RIU, 7571.43 nm/RIU, 5500 nm/RIU, and 6000 nm/RIU for the MDAMB-231, MCF-7, PC12, HeLa, and Jurkat cancerous cells, respectively (Chaudhary, Kumar and Kumar, 2022). Moreover, 1-D binary PhC with a defect layer using ( Si∕SiO 2 N/Defect/(Si∕SiO 2 )N structure was introduced for cancer cells detection with sensitivity of 2400.08 nm/RIU (Almawgani et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Highly sensitive V-shaped SPR PCF biosensor for cancer detection

et al. 2023

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In this paper, a novel design of photonic crystal fiber (PCF) biosensor based on surface plasmon resonance (SPR) is introduced and analyzed for cancer cell detection. The full vectorial finite element method (FVFEM) is used throughout the numerical analysis of the suggested biosensor. The reported PCF has a V-shaped surface that is coated with ZrN as a plasmonic material. A coupling occurs between the core guided mode and surface plasmon mode SPM which depends on the studied analyte. Such a coupling is improved by using the suggested V-shape geometry which increases the sensor sensitivity.The geometrical parameters are optimized to achieve high sensor sensitivity. The proposed biosensor has high optical sensitivity of 6214.28, 3800, and 5008.33 nm/RIU, for quasi-transverse magnetic (TM), and 6000 nm/RIU, 4400 nm/RIU, and 5333.3 nm/RIU, for quasi-transverse magnetic (TE), for breast, basal, and cervical cancer cells, respectively. The reported optical sensor can pave the way for efficient and simple technique for cancer detection with low cost and high sensitivity instead of surgical and chemical techniques.

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“…PTICAL fiber sensors have excellent performance. They are explosion-proof and corrosion-resistant, and have been attracting attention owing to the demand for monitoring social infrastructure [1][2][3][4][5][6]. Among them, fiber Bragg gratings (FBGs) are capable of multipoint measurement of strain and temperature using inexpensive and simple optical devices and are applied in a wide range of fields such as aerospace, defense, and energy.…”

Section: Introductionmentioning

confidence: 99%

Experimental Demonstration of Peak Wavelength Measurement of Multiplexing Fiber Bragg Gratings Using Convolutional Neural Network

et al. 2023

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We propose a peak detection method for measuring fiber Bragg gratings (FBGs) using convolutional neural network (CNN) to improve the performances of wavelength division multiplexing. In wavelength division multiplexing, each FBG occupies a certain wavelength range; therefore, the number of FBGs that can be installed is limited by the wavelength band of the light source. To address this issue, methods for overlapping multiple FBGs of the same wavelength within a single occupied wavelength range have been studied. This contributes to improving the limit of multipoint FBGs manifold. However, this method results in the complex overlapping of multiple FBG reflectance spectra making it difficult to accurately measure the peak wavelengths of individual FBGs using conventional peak detection methods. Therefore, we developed a peak detection process using CNN, which is suitable for identifying unique feature data. Each FBG of the same wavelength was characterized to have a unique spectral shape by assigning a different full width at half maximum to each. We introduced noise-additive learning, a well-known method of data augmentation that increases tolerance to variations in the experimental signal. As a result, the standard deviation for peak wavelength detection significantly improved to 2.8 pm and the strain measurements with three complex overlapping FBGs were successfully demonstrated. The CNN model is the first to solve the problem of three overlapping FBGs for arbitrary wavelength changes. Furthermore, the developed peak detection process was found to be applicable to measurements that combined multiplexing of FBGs of either identical or different wavelengths.

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Au-TiO₂ Coated Photonic Crystal Fiber Based SPR Refractometric Sensor for Detection of Cancerous Cells

Cited by 60 publications

References 37 publications

Design and numerical analysis of a highly sensitive nano-layer coated photonic crystal fiber biosensor

Design and numerical analysis of a highly sensitive nano-layer coated photonic crystal fiber biosensor

Highly sensitive V-shaped SPR PCF biosensor for cancer detection

Experimental Demonstration of Peak Wavelength Measurement of Multiplexing Fiber Bragg Gratings Using Convolutional Neural Network

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Au-TiO2 Coated Photonic Crystal Fiber Based SPR Refractometric Sensor for Detection of Cancerous Cells

Cited by 60 publications

References 37 publications

Design and numerical analysis of a highly sensitive nano-layer coated photonic crystal fiber biosensor

Design and numerical analysis of a highly sensitive nano-layer coated photonic crystal fiber biosensor

Highly sensitive V-shaped SPR PCF biosensor for cancer detection

Experimental Demonstration of Peak Wavelength Measurement of Multiplexing Fiber Bragg Gratings Using Convolutional Neural Network

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Au-TiO₂ Coated Photonic Crystal Fiber Based SPR Refractometric Sensor for Detection of Cancerous Cells