2022
DOI: 10.3390/cryst12040540
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Employing the Defective Photonic Crystal Composed of Nanocomposite Superconducting Material in Detection of Cancerous Brain Tumors Biosensor: Computational Study

Abstract: The present research is focused on the externally tunable defect mode properties of a one dimensional (1D) defective photonic crystal (DPhC) for fast detection of cancerous brain tumors. The proposed design has utilized conventional 1D DPhC whose cavity is coated with SiO2 nanoparticles embedded in a superconducting material layer called a nanocomposite layer. The purpose of a nanocomposite superconducting layer is to induce temperature dependent external tuning of the defect mode inside PBG, in addition, to c… Show more

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Cited by 29 publications
(19 citation statements)
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“…Additionally, the suggested design could be also used to detect the change in RI for different bio-analyte. Moreover, the achieved sensitivity is greater than that has been reported 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), and (Ramanujam et al 2019).…”
Section: Introductioncontrasting
confidence: 54%
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“…Additionally, the suggested design could be also used to detect the change in RI for different bio-analyte. Moreover, the achieved sensitivity is greater than that has been reported 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), and (Ramanujam et al 2019).…”
Section: Introductioncontrasting
confidence: 54%
“…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). Further, the highly sensitive sensors reported in (Verma, Kumar and Jindal, 2022), (Yasli 2021), and (Singh and Prajapati 2023) have used different air hole diameters with complex fabrication process.…”
Section: Fabrication Tolerance Studymentioning
confidence: 99%
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“…When compatible defects are introduced in the structure, defect modes appear within the PBG, and the 1DPhCs thus represent an electromagnetic counterpart of semiconductor crystals with many promising applications. These include optical filters [2][3][4][5][6], along with tunable ones [7][8][9][10][11][12], lasers [13], light-emitting diodes [14], active cavities [15], including optical field enhanced nonlinear absorption [16], optical sensors [17][18][19], fiber-optic sensors [20], humidity sensors [21], gas sensors [22][23][24][25], and photonic biosensors [26][27][28][29][30][31][32]. In addition, alternative designs to the 1DPhC-based optical filters are represented by the 2DPhC-based ones [33][34][35].…”
Section: Introductionmentioning
confidence: 99%
“…However, Daher et al designed a ternary 1D-PC composed of Si, Bi 4 Ge 3 O 12 , and SiO 2 layers for detecting cancer cells with an oblique incidence of radiation. They obtained a sensitivity of up to 3282.09 nm/RIU and a very low detection limit of 0.0001 RIUs by changing the radiation incidence angle, the cavity thickness, and the number of periods [22]. In this work, the behavior of 1D-PC radiation will be assessed through the Transfer Matrix Method (TMM) [23,24].…”
Section: Introductionmentioning
confidence: 99%