Graphene-Coated Optical Fiber SPR Biosensor for BRCA1 and BRCA2 Breast Cancer Biomarker Detection: a Numerical Design-Based Analysis

• DOI: 10.1007/s13320-019-0556-7
• Publication Date: 2019-05-21T23:00:09Z
• Authors: Md. Biplob Hossain; Md. Muztahidul Islam; Lway Faisal Abdul...; Md. Masud Rana; Tarik Bin Abdul Akib; Mehedi Hassan
• Keywords: DNA hybridization; Plasmonics and Nanophotonics Research; Biomedical Engineering; Finite-difference time-domain method; 02 engineering and technology; FOS: Medical engineering; DNA Nanotechnology and Bioanalytical Applications; Engineering; Breast cancer; Nanoparticle; Biochemistry, Genetics and Molecular Biology; Surface plasmon resonance; FOS: Electrical engineering, electronic engineering, information engineering; Genetics; 0202 electrical engineering, electronic engineering, information engineering; cancer; Nanotechnology; Applied optics. Photonics; DNA nanotechnology; Electrical and Electronic Engineering; Molecular Biology; Biology; Cancer; FOS: Nanotechnology; Physics; Silicon Photonics Technology; Life Sciences; Optics; DNA; graphene, SPR; BRCA1; BRCA2; Materials science; TA1501-1820; 3. Good health; ATR; Biosensors; FOS: Biological sciences; Physical Sciences; Biosensor

This paper provides a simple hybrid design and numerical analysis of the graphene-coated fiber-optic surface plasmon resonance (SPR) biosensor for breast cancer gene-1 early onset (BRCA1) gene-2 (BRCA2) genetic detection. Two specific mutations named 916delTT 6174delT in BRCA1 BRCA2 are selected detection cancer. sensor is based on technique attenuated total reflection (ATR) method to detect deoxyribonucleic acid (DNA) hybridization along with individual point genes. We have numerically shown that momentous changes present SPR angle (minimum: 135% more) frequency (SRF) 136% probe DNA various concentrations target corresponding mutation The variation SRF mismatched strands quite negligible, whereas complementary considerable, which essential proper biomarkers (916delTT 6174delT) At last, effect electric field distribution inserting graphene layer analyzed incorporating finite difference time domain (FDTD) by using Lumerical FDTD solution commercial software. To best our knowledge, this first demonstration such highly efficient detecting Therefore, proposed opens new window toward cancers.