Biophotonic sensor for swift detection of malignant brain tissues by using nanocomposite YBa2Cu3O7/dielectric material as a 1D defective photonic crystal

Author:

Malek C.,Abdallah Suhad Ali Osman,Awasthi S. K.,Ismail M. A.,Sabra W.,Aly Arafa H.

Abstract

AbstractIn the present research work we have theoretically examined the biosensing capabilities of proposed one dimensional defective photonic crystal for swift detection of malignant brain tissues. The transfer matrix formulation and MATLAB computational tool have been used to examine the transmission properties of proposed structure. The identical buffer layers of nanocomposite superconducting material have been used either side of cavity region to enhance the interaction between incident light and different brain tissue samples poured into the cavity region. All the investigations have been carried out under normal incidence to suppress the experimental liabilities involved. We have investigated the biosensing performance of the proposed design by changing the values of two internal parameters (1) the cavity layer thickness (d4) and (2) volume fraction (η) of nanocomposite buffer layers one by one to get the optimum biosensing performance from the structure. It has been found that the sensitivity of the proposed design becomes 1.42607 μm/RIU when the cavity region of thickness 15dd is loaded with lymphoma brain tissue. This value of sensitivity can be further increased to 2.66136 μm/RIU with η = 0.8. The findings of this work are very beneficial for designing of various bio-sensing structures composed of nanocomposite materials of diversified biomedical applications.

Funder

King Khalid University

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference43 articles.

1. World Health Organization. Report on the health of refugees and migrants in the WHO European region: no public health without refugee and migrant health. (2018).

2. da Silva, A. R. C. et al Application for predicting breast cancer through Google Prediction API. Anais da VI Escola Regional de Computaçãoaplicada à Saúde. SBC (2018).

3. Shalaby, A. S. et al. Theoretical study of one-dimensional defect photonic crystal as a high-performance sensor for water-borne bacteria. Opt. Quant. Electron. 53, 1–14 (2021).

4. Aly, A. H. et al. 1D reconfigurable bistable photonic device composed of phase change material for detection of reproductive female hormones. Phys. Scr. 96, 125533 (2021).

5. Aly, A. H. et al. Detection of reproductive hormones in females by using 1D photonic crystal-based simple reconfigurable biosensing design. Crystals 11, 1533 (2021).

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