A comparative study of different types of sandwiched structures of SPR biosensor for sensitive detection of ssDNA

In this paper, a brand-novel surface plasmon resonance (SPR) biosensor structure built by bimetallic layers (Ag, Al2O3), zinc oxide (ZnO), and black phosphorus (BP) is proposed. The incident light wavelength is 633nm. The angular sensitivity (S), detection accuracy (DA), the figure of merit (FoM), and electric field strength of the proposed construction and other constructions are numerically investigated and compared. To optimize the sensor's performance, the influence of the thickness of each layer on the proposed construction’s performance was simulated. The proposed construction utilizes the large surface-to-volume ratio of ZnO along with the high biomolecule adsorption of BP for sensing performance improvement. It is found that the proposed sensing structure’s highest sensitivity of 400 °/RIU, that's 294.75% higher than the conventional silver-based sensor. This sensing structure might provide ideas for the construction of precision detection suited SPR sensors.

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“…The Ag layer's thickness has been adjusted between 35 and 50 nm. Its refractive index is calculated employing the Drude-Lorentz model [13]:…”

Section: Thnornitcalsiiud 1sopitcalspropnritnisofsmainrtalsla Nrimentioning

confidence: 99%

Sensitivity Improvement of Bimetallic Layer-Based SPR Biosensor Using ZnO and Black Phosphorus

Wang

Zhang

Liu

et al. 2023

Preprint

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“…In order to find comparative chemical compounds, photonic crystal fiber biosensors based on a porous silicon have also been described [ 76 ]. Typically, the SPR biosensor is employed to identify biological or chemical materials [ 77 ]. Previous experiments demonstrated the potential of SPR biosensors for viral detection without real-time labels [ 78 ].…”

Section: Sars-cov-2 Biosensorsmentioning

confidence: 99%

A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

et al. 2022

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The ability to interpret information through automatic sensors is one of the most important pillars of modern technology. In particular, the potential of biosensors has been used to evaluate biological information of living organisms, and to detect danger or predict urgent situations in a battlefield, as in the invasion of SARS-CoV-2 in this era. This work is devoted to describing a panoramic overview of optical biosensors that can be improved by the assistance of nonlinear optics and machine learning methods. Optical biosensors have demonstrated their effectiveness in detecting a diverse range of viruses. Specifically, the SARS-CoV-2 virus has generated disturbance all over the world, and biosensors have emerged as a key for providing an analysis based on physical and chemical phenomena. In this perspective, we highlight how multiphoton interactions can be responsible for an enhancement in sensibility exhibited by biosensors. The nonlinear optical effects open up a series of options to expand the applications of optical biosensors. Nonlinearities together with computer tools are suitable for the identification of complex low-dimensional agents. Machine learning methods can approximate functions to reveal patterns in the detection of dynamic objects in the human body and determine viruses, harmful entities, or strange kinetics in cells.

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“…Among the non-covalent interactions, hydrophobic interaction, van der Waals force, and hydrogen bonding are well studied ( Kumar et al, 2021 ). For example, TMDCs can directly adsorb antibodies via hydrophobic interaction ( Das et al, 2020 ) and single-stranded DNA molecules ( Kumar et al, 2022 ), gas molecules ( Bharathi et al, 2022 ), and silane coupling agent through van der Waals force. TMDCs can also be linked with surfactants ( Jung et al, 2018 ; Parra-Alfambra et al, 2018 ) such as dextran through hydrogen bonding, enabling simultaneous exfoliation and surface functionalization of multilayer nanosheets.…”

Section: Biosensors Based On Non-covalent Interactions On the Surface...mentioning

confidence: 99%

A Review of Transition Metal Dichalcogenides-Based Biosensors

Sun

Yue

et al. 2022

Front. Bioeng. Biotechnol.

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Transition metal dichalcogenides (TMDCs) are widely used in biosensing applications due to their excellent physical and chemical properties. Due to the properties of biomaterial targets, the biggest challenge that biosensors face now is how to improve the sensitivity and stability. A lot of materials had been used to enhance the target signal. Among them, TMDCs show excellent performance in enhancing biosensing signals because of their metallic and semi-conducting electrical capabilities, tunable band gap, large specific surface area and so on. Here, we review different functionalization methods and research progress of TMDCs-based biosensors. The modification methods of TMDCs for biosensor fabrication mainly include two strategies: non-covalent and covalent interaction. The article summarizes the advantages and disadvantages of different modification strategies and their effects on biosensing performance. The authors present the challenges and issues that TMDCs need to be addressed in biosensor applications. Finally, the review expresses the positive application prospects of TMDCs-based biosensors in the future.

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A comparative study of different types of sandwiched structures of SPR biosensor for sensitive detection of ssDNA

Cited by 21 publications

References 45 publications

Sensitivity Improvement of Bimetallic Layer-Based SPR Biosensor Using ZnO and Black Phosphorus

Sensitivity Improvement of Bimetallic Layer-Based SPR Biosensor Using ZnO and Black Phosphorus

A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

A Review of Transition Metal Dichalcogenides-Based Biosensors

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