ArticleScientific reports2023
Biophotonic sensor for swift detection of malignant brain tissues by using nanocomposite YBa
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 20 citations in OpenAlex.
- Chemical-enhanced thyroid cell detection using photonic crystal biosensors with phase-change materials.RSC advances · 2026Article
- Sensitive detection of cancer and brain tissues using a miniaturized PT-symmetric nanophotonic biosensor based on exceptional points.Scientific reports · 2025Article
- High-performance biosensors based on angular plasmonic of a multilayer design: new materials for enhancing sensitivity of one-dimensional designs.RSC advances · 2024Article
- Ultra-high sensitive cancerous cells detection and sensing capabilities of photonic biosensor.Scientific reports · 2023Article
- Ultra-sensitive pressure sensing capabilities of defective one-dimensional photonic crystal.Scientific reports · 2023Article
- Design of Photonic Crystal Biosensors for Cancer Cell Detection.Micromachines · 2023Article
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 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 (d
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.