Improved Transition Metal Dichalcogenides-Based Surface Plasmon Resonance Biosensors

Hasib, Mohammad Hasibul Hasan; Nur, Jannati Nabiha; Rizal, Conrad; Shushama, Kamrun Nahar

doi:10.3390/condmat4020049

Cited by 44 publications

(17 citation statements)

References 30 publications

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“…The reflectivity of the multilayer system, R, is defined as the ratio of the energy reflected at the surface to the energy of the incident and can be expressed as [70]:…”

Section: Theorymentioning

confidence: 99%

Design and Optimization of Surface Plasmon Resonance Spectroscopy for Optical Constant Characterization and Potential Sensing Application: Theoretical and Experimental Approaches

et al. 2021

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The best surface plasmon resonance (SPR) signal can be generated based on several factors that include the excitation wavelength, the type of metal used, and the thickness of the metal layer. In this study, the aforementioned factors have been investigated to obtain the best SPR signal. The excitation wavelength of 633 nm and gold metal with thickness of 50 nm were required to generate the SPR signal before the SPR was used for optical constant characterization by fitting of experimental results to the theoretical data. The employed strategy has good agreement with the theoretical value where the real part refractive index, n value, of the gold thin film was 0.1245 while the value for the imaginary part, k, was 3.6812 with 47.7 nm thickness. Besides that, the optical characterization of nanocrystalline cellulose (NCC)-based thin film has also been demonstrated. The n and k values found for this thin film were 1.4240 and 0.2520, respectively, with optimal thickness of 9.5 nm. Interestingly when the NCC-based thin film was exposed to copper ion solution with n value of 1.3333 and k value of 0.0060 to 0.0070 with various concentrations (0.01–10 ppm), a clear change of the refractive index value was observed. This result suggests that the NCC-based thin film has high potential for copper ion sensing using SPR with a sensitivity of 8.0052°/RIU.

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“…The reflectivity of the multilayer system, R, is defined as the ratio of the energy reflected at the surface to the energy of the incident and can be expressed as [70]:…”

Section: Theorymentioning

confidence: 99%

Design and Optimization of Surface Plasmon Resonance Spectroscopy for Optical Constant Characterization and Potential Sensing Application: Theoretical and Experimental Approaches

et al. 2021

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“…Further, a linear Ru(bpy) 3 2+ -polymer with a controllable ECL signal-amplifying ratio has been developed and reached a remarkable LOD of 100 amol for the detection of the HBsAg gene of the Hepatitis B virus, carcino-embryonic antigen and 16S RNA of Listeria monocytogenes [32]. The detection limit is defined as the target concentration that produces a net signal (total signal minus background) equal to three times the standard deviation of a series of background repeats [44,45,46].…”

Section: Electrochemiluminescence (Ecl)-based Detection Of Pathogenmentioning

confidence: 99%

Recent Advances in Electrochemiluminescence Sensors for Pathogenic Bacteria Detection

2019

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Pathogenic bacterial contamination greatly threats human health and safety. Rapidly biosensing pathogens in the early stage of infection would be helpful to choose the correct drug treatment, prevent transmission of pathogens, as well as decrease mortality and economic losses. Traditional techniques, such as polymerase chain reaction and enzyme-linked immunosorbent assay, are accurate and effective, but are greatly limited because they are complex and time-consuming. Electrochemiluminescence (ECL) biosensors combine the advantages of both electrochemical and photoluminescence analysis and are suitable for high sensitivity and simple pathogenic bacteria detection. In this review, we summarize recent advances in ECL sensors for pathogenic bacteria detection and highlight the development of paper-based ECL platforms in point of care diagnosis of pathogens.

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“…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]. The SPR sensors are implemented using either angle interrogation or wavelength interrogation method to detect the sensing layer refractive index variation when the analyte comes in contact with it.…”

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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Improved Transition Metal Dichalcogenides-Based Surface Plasmon Resonance Biosensors

Cited by 44 publications

References 30 publications

Design and Optimization of Surface Plasmon Resonance Spectroscopy for Optical Constant Characterization and Potential Sensing Application: Theoretical and Experimental Approaches

Design and Optimization of Surface Plasmon Resonance Spectroscopy for Optical Constant Characterization and Potential Sensing Application: Theoretical and Experimental Approaches

Recent Advances in Electrochemiluminescence Sensors for Pathogenic Bacteria Detection

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

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