Sensitivity enhancement of SPR biosensors employing heterostructure of PtSe2 and 2D materials

Rahman, M. F.; Rana, Masud; Rahman, S.M. Habibur; Anower, Md. Shamim; Mollah, Md. Aslam; Paul, Alok Kumar

doi:10.1016/j.optmat.2020.110123

Cited by 110 publications

(41 citation statements)

References 45 publications

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“…

film placed on

prism coupler, RI of

prism is

. The third layer is platinum-di-selenide

, RI of

is deliberated as

and coating thickness of

[ 31 ]. The fourth layer is graphene, RI of the graphene layer is deliberated as

and coating thickness of

, where

is the number of graphene layers [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

“…Finally, the proficiency of the SPR sensors is categorized on the basis of sensitivity ( S ), full width at half maximum (FWHM), DA, FOM, SNR, and QF parameters [ 31 , 63 ].…”

Section: Methodsmentioning

confidence: 99%

“…The ideal number of graphene layers was between 2 and 5 graphene layers for optimum sensitivity, QF, as well as DA and FOM [ 55 ]. In the proposed sensor, a maximum of five-layer graphene film was added to achieve maximum efficiency [ 31 ].

…”

Section: Quality Enhancement Of the Proposed Sensormentioning

confidence: 99%

See 2 more Smart Citations

Design and Numerical Analysis of a Graphene-Coated SPR Biosensor for Rapid Detection of the Novel Coronavirus

Akib

Mou

Rahman

et al. 2021

Sensors

111

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In this paper, a highly sensitive graphene-based multiple-layer (BK7/Au/PtSe2/Graphene) coated surface plasmon resonance (SPR) biosensor is proposed for the rapid detection of the novel Coronavirus (COVID-19). The proposed sensor was modeled on the basis of the total internal reflection (TIR) technique for real-time detection of ligand-analyte immobilization in the sensing region. The refractive index (RI) of the sensing region is changed due to the interaction of different concentrations of the ligand-analyte, thus impacting surface plasmon polaritons (SPPs) excitation of the multi-layer sensor interface. The performance of the proposed sensor was numerically investigated by using the transfer matrix method (TMM) and the finite-difference time-domain (FDTD) method. The proposed SPR biosensor provides fast and accurate early-stage diagnosis of the COVID-19 virus, which is crucial in limiting the spread of the pandemic. In addition, the performance of the proposed sensor was investigated numerically with different ligand-analytes: (i) the monoclonal antibodies (mAbs) as ligand and the COVID-19 virus spike receptor-binding domain (RBD) as analyte, (ii) the virus spike RBD as ligand and the virus anti-spike protein (IgM, IgG) as analyte and (iii) the specific probe as ligand and the COVID-19 virus single-standard ribonucleic acid (RNA) as analyte. After the investigation, the sensitivity of the proposed sensor was found to provide 183.33°/refractive index unit (RIU) in SPR angle (θSPR) and 833.33THz/RIU in SPR frequency (SPRF) for detection of the COVID-19 virus spike RBD; the sensitivity obtained 153.85°/RIU in SPR angle and 726.50THz/RIU in SPRF for detection of the anti-spike protein, and finally, the sensitivity obtained 140.35°/RIU in SPR angle and 500THz/RIU in SPRF for detection of viral RNA. It was observed that whole virus spike RBD detection sensitivity is higher than that of the other two detection processes. Highly sensitive two-dimensional (2D) materials were used to achieve significant enhancement in the Goos-Hänchen (GH) shift detection sensitivity and plasmonic properties of the conventional SPR sensor. The proposed sensor successfully senses the COVID-19 virus and offers additional (1 + 0.55) × L times sensitivity owing to the added graphene layers. Besides, the performance of the proposed sensor was analyzed based on detection accuracy (DA), the figure of merit (FOM), signal-noise ratio (SNR), and quality factor (QF). Based on its performance analysis, it is expected that the proposed sensor may reduce lengthy procedures, false positive results, and clinical costs, compared to traditional sensors. The performance of the proposed sensor model was checked using the TMM algorithm and validated by the FDTD technique.

show abstract

“…

film placed on

prism coupler, RI of

prism is

. The third layer is platinum-di-selenide

, RI of

is deliberated as

and coating thickness of

[ 31 ]. The fourth layer is graphene, RI of the graphene layer is deliberated as

and coating thickness of

, where

is the number of graphene layers [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

“…Finally, the proficiency of the SPR sensors is categorized on the basis of sensitivity ( S ), full width at half maximum (FWHM), DA, FOM, SNR, and QF parameters [ 31 , 63 ].…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Design and Numerical Analysis of a Graphene-Coated SPR Biosensor for Rapid Detection of the Novel Coronavirus

Akib

Mou

Rahman

et al. 2021

Sensors

111

View full text Add to dashboard Cite

show abstract

“…SPR sensors are in the trends globally due to a variety of applications in the different areas like biosensing, monitoring of the environment, medical field, food and safety, gas detection, temperature analysis, pressure measurement, concentration analysis of the fluid, analyze different components of the blood, and as well as real-time observation of the molecular interaction of the molecules in the microbiology and biochemistry with ultra-high sensitivity, and level free detection. It has applications in optical fields like optical modulators and plasma detectors [5]- [8]. Various sensors using SPR technology have been proposed, but researchers, academicians, and scientists are putting their efforts into improving the sensor's performance [9], [10].…”

Section: Introductionmentioning

confidence: 99%

“…The metal layer of silver (Ag) is regularly used in the conventional biosensor; sometimes, gold (Au) is preferred [5]. This material shows a sharp dip in the resonance curve near the infrared region and near-infrared region, i.e., it reflects that the sensor produces high sensitivity due to sharp dip.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Analysis of Tuning and Sensitivity Improvement of Surface Plasmon Resonance Biosensor employing Heterostructures of Titanium Disilicide and Graphene

Balaji¹

2021

Preprint

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In this work, a surface plasmons resonance-based biosensor is theoretically and mathematically investigated. The proposed sensor is a multilayered structure of the titanium disilicide and graphene along with Ag metal. These layers are stacked over the BK7 prism. The metal, titanium disilicide, and graphene layer thickness are taken as 45 nm, 2 nm, and 1.7 nm, respectively. The titanium disilicide is an air-stable 2-D material. The performance of the biosensor is analyzed using the attenuated total reflection (ATR) method. The proposed configuration has a maximum sensitivity of 183.4°/RIU, 47.45 % higher than the conventional sensor. The designed sensor has wide applications in chemical, medical, and biological analyte sensing.

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Research Progress of Resonance Optical Fiber Sensors Modified by Low‐Dimensional Materials

Wang

Yin

et al. 2023

Laser & Photonics Reviews

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Resonance optical fiber sensors are widely studied for their high sensitivity, small size, and anti-electromagnetic interference. However, traditional resonance optical fiber sensors have encountered bottlenecks in the trace detection due to limited localized field intensity and low molecules affinity. With the development of materials technology, low-dimensional materials such as quantum dots, graphene, and transition metal sulfides have excellent properties such as high carrier mobility, large specific surface area, and flexible structure controllable artificial technologies that can also be used to synthesize new materials with desired characteristics, which can enhance the performance of sensors fundamentally. The introduction of low-dimensional materials can not only achieve the performance optimization of sensors, but also make sensors functional to realize the diversification of detection objects. This paper reviews the research progress of resonance optical fiber sensors based on low-dimensional materials. The detection principle and performance indexes related to resonance optical fiber sensing are elaborated, and resonance optical fiber sensors modified by low-dimensional materials are introduced. Furthermore, the role of low-dimensional materials in resonance fiber sensing is summarized, the direction of performance optimization in the production process of resonance fiber sensors is analyzed, and the future prospect of new resonance optical fiber sensors is given.

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Sensitivity enhancement of SPR biosensors employing heterostructure of PtSe2 and 2D materials

Cited by 110 publications

References 45 publications

Design and Numerical Analysis of a Graphene-Coated SPR Biosensor for Rapid Detection of the Novel Coronavirus

Design and Numerical Analysis of a Graphene-Coated SPR Biosensor for Rapid Detection of the Novel Coronavirus

Theoretical Analysis of Tuning and Sensitivity Improvement of Surface Plasmon Resonance Biosensor employing Heterostructures of Titanium Disilicide and Graphene

Research Progress of Resonance Optical Fiber Sensors Modified by Low‐Dimensional Materials

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