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

Md. Biplob Hossain, Md. Muztahidul Islam, Lway Faisal Abdulrazak, Md. Masud Rana, Tarik Bin Abdul Akib, Mehedi Hassan

Photonic Sensors ›› 2019, Vol. 10 ›› Issue (1) : 67-79.

Photonic Sensors ›› 2019, Vol. 10 ›› Issue (1) : 67-79. DOI: 10.1007/s13320-019-0556-7
Regular

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

Author information +
History +

Abstract

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

Keywords

ATR / BRCA1 / BRCA2 / cancer / DNA hybridization / graphene, SPR / SRF / 6174delT / 916delTT

Cite this article

Download citation ▾
Md. Biplob Hossain, Md. Muztahidul Islam, Lway Faisal Abdulrazak, Md. Masud Rana, Tarik Bin Abdul Akib, Mehedi Hassan. Graphene-Coated Optical Fiber SPR Biosensor for BRCA1 and BRCA2 Breast Cancer Biomarker Detection: a Numerical Design-Based Analysis. Photonic Sensors, 2019, 10(1): 67‒79 https://doi.org/10.1007/s13320-019-0556-7

References

[1]
Caporale D A, Swenson E E. Two different BRCA2 mutations found in a multigenerational family with a history of breast, prostate, and lung cancers. Advances in Genomics and Genetics, 2014, 2014(4): 87-94.
CrossRef Google scholar
[2]
Carrascosa L G, Calle A, Lechuga L M. Label-free detection of DNA mutations by SPR: application to the early detection of inherited breast cancer. Analytical and Bioanalytical Chemistry, 2009, 393(4): 1173-1182.
CrossRef Google scholar
[3]
Hossain M B, Akib T B A, Abdulrazak L F, Rana M M. Numerical modeling of graphene-coated fiber optic surface plasmon resonance biosensor for BRCA1 and BRCA2 genetic breast cancer detection. Optical Engineering, 2019, 58(3): 037104.
CrossRef Google scholar
[4]
Lin C W, Chang C C. Breast cancer detection using surface plasmon resonance-based biosensors. Biosensors and Cancer, 2012, 12, 229-247.
CrossRef Google scholar
[5]
Godet I, Gilkes D M. BRCA1 and BRCA2 mutations and treatment strategies for breast cancer. Integrative Cancer Science and Therapeutics, 2017, 4(1): 1-17.
CrossRef Google scholar
[6]
Li Y, Wark A W, Lee H J, Corn R M. Single-nucleotide polymorphism genotyping by nanoparticle-enhanced surface plasmon resonance imaging measurements of surface ligation reactions. Analytical Chemistry, 2006, 78(9): 3158-3164.
CrossRef Google scholar
[7]
Hossain M B, Rana M M. Graphene coated high sensitive surface plasmon resonance biosensor for sensing DNA hybridization. Sensor Letters, 2016, 14(2): 145-152.
CrossRef Google scholar
[8]
Paul A K, Sarkar A K. Dual-core photonic crystal fiber plasmonic refractive index sensor: a numerical analysis. Photonic Sensors, 2019, 9(2): 151-161.
CrossRef Google scholar
[9]
Wang Y, Meng S, Liang Y, Li L, Peng W. Fiber-optic surface plasmon resonance sensor with multi-alternating metal layers for biological measurement. Photonic Sensors, 2013, 1(3): 202-207.
CrossRef Google scholar
[10]
Mishra A K, Mishra S K, Verma R K. Graphene and beyondgraphene MoS2: a new window in surface-plasmon-resonance-based fiber optic sensing. The Journal of Physical Chemistry C, 2016, 120(5): 2893-2900.
CrossRef Google scholar
[11]
Wu L, Guo J, Xu H, Dai X, Xiang Y. Ultrasensitive biosensors based on long-range surface plasmon polariton and dielectric waveguide modes. Photonics Research, 2016, 4(6): 262-266.
CrossRef Google scholar
[12]
Wu L M, Guo J, Dai X Y, Xiang Y J, Fan D Y. Sensitivity enhancement by MoS2-graphene hybrid structure in guided wave surface plasmon resonance biosensor. Plasmonics, 2018, 13(1): 281-285.
CrossRef Google scholar
[13]
Wu L M, Guo J, Wang Q K, Lu S B, Dai X Y, Xiang Y J, . Sensitivity enhancement by using few layer black phosphorus-graphene/TMDCs heterostructure structure in surface plasmon resonance biochemical sensor. Sensors and Actuators B: Chemical, 2017, 249(13): 542-548.
CrossRef Google scholar
[14]
Wu L M, Jia Y, Jiang L Y, Guo J, Dai X Y, Xiang Y J, . Sensitivity improved SPR biosensor based on the MoS2/graphene-aluminium hybrid structure. IEEE Journal of Lightwave Technology, 2017, 35(1): 82-87.
CrossRef Google scholar
[15]
Ruan B X, Guo J, Wu L M, Zhu J Q, You Q, Dai X Y, . Ultrasensitive terahertz biosensors based on fano resonance of a graphene/waveguide hybrid structure. Sensors, 2017, 17(8): 19-24.
CrossRef Google scholar
[16]
Englebienne P, Van Hoonacker A, Verhas M. Surface plasmon resonance: principles, methods and applications in biomedical sciences. Journal of Spectroscopy, 2003, 17(2–3): 255-273.
CrossRef Google scholar
[17]
Pumera M. Graphene in biosensing. Materials Today, 2011, 14(7–8): 308-315.
CrossRef Google scholar
[18]
M. B. Hossain, M. Hassan, L. F. Abdulrazak, M. M. Rana, M. M. Islam, and M. S. Rahman, “Graphene-MoS2-Au-TiO2-SiO2 hybrid SPR biosensor for formalin detection: numerical analysis and development,” Advanced Materials Letters, 2019: https://www.vbripress.com/aml/articles/details/1395.
[19]
Geim A K, Novoselov K S. The rise of graphene. Nature Materias, 2007, 6(3): 183-191.
CrossRef Google scholar
[20]
Bonaccorso F, Sun Z, Hasan T, Ferrari A C. Graphene photonics and optoelectronics. Nature Photonics, 2010, 4(9): 611-622.
CrossRef Google scholar
[21]
Wu L, Jia Y, Jiang L, Guo J, Dai X, Xiang Y, . Sensitivity improved SPR biosensor based on the MoS2/graphene-aluminum hybrid structure. Journal of Lightwave Technology, 2017, 35(1): 82-87.
CrossRef Google scholar
[22]
Hossain M B, Rana M M. DNA hybridization detection based on resonance frequency readout in graphene on Au SPR biosensor. Journal of Sensors, 2016, 16, 6070742.
[23]
Ball V, Ramsden J J. Buffer dependence of refractive index increments of protein solutions. Biopolymers, 1998, 46(7): 489-492.
CrossRef Google scholar
[24]
Diéguez L, Darwish N, Mir M, Martínez E, Moreno M, Samitier J. Effect of the refractive index of buffer solutions in evanescent optical biosensors. Sensor Letters, 2009, 7(5): 851-855.
CrossRef Google scholar
[25]
Shushama K N, Rana M M, Inum R, Hossain M B. Graphene coated fiber optic surface plasmon resonance biosensor for the DNA hybridization detection: Simulation analysis. Optics Communications, 2017, 383, 186-190.
CrossRef Google scholar
[26]
Homola J, Piliarik M. Surface plasmon resonance (SPR) sensors: approaching their limits. Optics Express, 2009, 17(19): 16505-16517.
CrossRef Google scholar
[27]
del Rio J S, Carrascosa L G, Blanco F J, Moreno M, Berganzo J, Calle A, . Lab-on-a-chip platforms based on highly sensitive nanophotonic Si biosensors for single nucleotide DNA testing. Silicon Photonics II, 2007, 6477, 64771B.
CrossRef Google scholar
[28]
Hossain M B, Rana MM, Abdulrazak L F, Mitra S, Rahman M. Graphene-MoS2 with TiO2-SiO2 layers based surface plasmon resonance biosensor: numerical development for formalin detection. Biochemistry and Biophysics Reports, 2019, 18, 100639.
CrossRef Google scholar
[29]
Rahman M S, Anower M S, Hasan M R, Hossain M B, Haque M I. Design and numerical analysis of highly sensitive Au-MoS2-graphene based hybrid surface plasmon resonance biosensor. Optics Communications, 2017, 396, 36-43.
CrossRef Google scholar
[30]
Rahman M S, Anower M S, Rahman M K, Hasan M R, Hossain M B, Haque M I. Modeling of highly sensitive MoS2-graphene hybrid based fiber optic SPR biosensor for sensing DNA hybridization. Optik, 2017, 140, 989-997.
CrossRef Google scholar
[31]
Wu L, Chu H S, Koh W S, Li E P. Highly sensitive graphene biosensors based on surface plasmon resonance. Optics Express, 2010, 18(14): 14395-14400.
CrossRef Google scholar
[32]
Chakraborty A, Banerjee D, Basak J, Mukhopadhyay A. Absence of 185delAG and 6174delT mutations among breast cancer patients of eastern India. Asian Pacific Journal of Cancer Prevention, 2015, 16(17): 7929-7933.
CrossRef Google scholar
[33]
Hossain M B, Muktadhir S, Rana M M. Multi-structural optical devices modeling using graphene tri-layer sheets. Optik, 2016, 127(15): 5841-5851.
CrossRef Google scholar
[34]
Hossain M B, Muktadhir M S, Rana M M. Modeling graphene macroscopic and microscopic conductivity in the sub-cell FDTD method. International Conference on Electrical & Electronic Engineering (ICEEE), 2015 15838474.
[35]
Rana M M, Hossain M B, Islam M R, Guo Y G. Surface plasmon polariton propagation modeling for graphene parallel pair sheets using FDTD. 2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD), 2015 15953521.
[36]
Hossain M B, Rana M M. An effective compact-FDTD wideband modeling of graphene conductivity. 2015 International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2015 15570584.

Accesses

Citations

Detail

Sections
Recommended

/