دورية أكاديمية
Ultra-high sensitive cancerous cells detection and sensing capabilities of photonic biosensor
العنوان: | Ultra-high sensitive cancerous cells detection and sensing capabilities of photonic biosensor |
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المؤلفون: | Arafa H. Aly, B. A. Mohamed, M. Al-Dossari, S. K. Awasthi, Emadelden Fouad, A. F. Amin |
المصدر: | Scientific Reports, Vol 13, Iss 1, Pp 1-22 (2023) |
بيانات النشر: | Nature Portfolio, 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Medicine LCC:Science |
مصطلحات موضوعية: | Medicine, Science |
الوصف: | Abstract The ultra-high sensitive cancer cell detection capabilities of one-dimensional photonic crystal with defect have been theoretically examined in this work. The simulations of the work have been carried out with MATLAB programming and transfer matrix method. The performance of the proposed biosensor loaded separately with samples containing different cancer cells has been studied by changing the period number, defect layer thickness, and incident angle corresponding to s polarized light only to identify the parameters under which the proposed design becomes ultra-sensitive. The working principle of the proposed biosensor is to sense the minute change in the refractive index of the analytes containing different cancer cells of human. This sensing is done shifting the respective defect mode inside photonic band gap of the structure from one position to other near by position due to change in the refractive index of sample under consideration. Our structure under optimum conditions yields maximum shifting in the position of defect mode from 1538 to 1648 nm corresponding to the samples containing normal and Glioblastoma cells of refractive indices 1.350 and 1.4470 respectively which results a ultra-high sensitivity of 4270.525928 nm/RIU. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2045-2322 |
Relation: | https://doaj.org/toc/2045-2322 |
DOI: | 10.1038/s41598-023-46667-y |
URL الوصول: | https://doaj.org/article/58e4b060b3a34975929878e1d65c308d |
رقم الأكسشن: | edsdoj.58e4b060b3a34975929878e1d65c308d |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20452322 |
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DOI: | 10.1038/s41598-023-46667-y |