2022
DOI: 10.1007/s11468-022-01727-3
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Detection of Basal Cancer Cells using Photodetector Based on a Novel Surface Plasmon Resonance Nanostructure Employing Perovskite Layer with an Ultra High Sensitivity

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Cited by 30 publications
(5 citation statements)
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“…Interestingly, the dependence of some materials like Graphene, MXene, black phosphorous, blue phosphorous and tungsten disulde have signicant effect on the sensitivity, FoM, quality factor and LoD as well. [2][3][4][5][6]8,[10][11][12][13] Meanwhile, Yupapin et al, have introduced an ASPR sensor based on Si-Graphene layers for the detection of Chikungunya virus. 3 The suggested sensor provides a sensitivity of 393°per RIU.…”
Section: Comparison With Other Sensors Based On Asprmentioning
confidence: 99%
See 3 more Smart Citations
“…Interestingly, the dependence of some materials like Graphene, MXene, black phosphorous, blue phosphorous and tungsten disulde have signicant effect on the sensitivity, FoM, quality factor and LoD as well. [2][3][4][5][6]8,[10][11][12][13] Meanwhile, Yupapin et al, have introduced an ASPR sensor based on Si-Graphene layers for the detection of Chikungunya virus. 3 The suggested sensor provides a sensitivity of 393°per RIU.…”
Section: Comparison With Other Sensors Based On Asprmentioning
confidence: 99%
“…5, the green color solid balls represent the simulated data, and the black color dashed line represents the linear curve tting, which is applied to the simulated data, showing n SM dependent discrete values of q R . Aer applying the linear curve-tting on the theoretical data obtained from MATLAB simulations, the following linear tting equation is obtained, as given in eqn (8) q R = 423.14 n SM − 479.9…”
Section: S ¼mentioning
confidence: 99%
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“…Which must be a faster, simpler, and easier tumor detection approach than biopsy. Surface plasmon resonance is now an acceptable method for disease diagnosis, it's used in a wide range of chemical and biosensing applications, including food safety [6], medical diagnostics [7], and drug diagnostics [8], due to their unique characteristics such as the ability to perform real-time detection in a label-free platform [9], high sensitivity, and quick response [10]. Breast cancer is the most commonly diagnosed disease worldwide, accounting for almost two million cases in 2020 [11].…”
Section: Introductionmentioning
confidence: 99%