Highly sensitive biosensor with graphene-MoS2 heterostructure based on photonic spin Hall effect

Li, Nengxi; Tang, Tingting; Li, Jie; Luo, Li; Li, Chaoyang; Shen, Jian; Yao, Jianquan

doi:10.1016/j.jmmm.2019.04.003

Cited by 38 publications

(8 citation statements)

References 35 publications

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“…According to Srivastava and colleagues, the magnified changes caused by the conversion to photonics are sensitive to changes in the refraction index of the sensing medium; this makes the nanostructures an excellent choice for a biosensor [ 61 ]. Most of the photonic integrated sensors employ the concept of evanescent field detection, where the analyte adheres to a bioreaction layer on the surface of the wave guide and interacts with the evanescent field of the guided wave [ 62 ]. The initial displacement in particular biosensors may be increased by about four orders of magnitude by utilizing preselection to choose the polarization and postselection to create destructive interference [ 63 ].…”

Section: Sars-cov-2 Biosensorsmentioning

confidence: 99%

“…This signal enhancement approach can simplify the optical components and lower the cost of the sensor device in addition to measuring the spin-dependent splitting in biosensors [ 64 ]. Furthermore, due to its distinct optical characteristics, the photonic spin Hall effect has generated a lot of study in recent years [ 62 ]. On-chip resonant or interferometric devices are used to translate changes in the optical phase, which cannot be detected directly, into changes in the optical power [ 63 ].…”

Section: Sars-cov-2 Biosensorsmentioning

confidence: 99%

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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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Section: Sars-cov-2 Biosensorsmentioning

confidence: 99%

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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“…Graphene based field-effect-transistor (GFET) sensor is a common and reliable sensor [204], and has been used recently e.g., for early detection of the Zika-virus [205], RNA and DNA detection down to 10 -17 mol/L concentrations [206,207], in operando TEM measurements of neuropeptide capture and release [208] as well as detection of SARS-CoV-2 virus [209], the cause of the global COVID-19 pandemic of 2020. Other measurement schemes can be used as well, such as, Hall effect in standard [210], gated [211] and photonic spin [212,213] Table 2 Summary of different graphene based transparent electrodes, where R s , T, DC / OP and R change refer to sheet resistance, transmittance (at nm unless otherwise specified), figure of merit and decrease of sheet resistance due to doping, respectively. Substrate refers to the substrate where R s and T are measured on, if two substrates are given, then their corresponding measurements are given in brackets after the substrate configurations or optical measurements using e.g., fluorescence [214,215], refractive index imaging [216] or surface plasmons [215,[217][218][219] Terahertz frequency photodetectors are important in many applications, such as, medicine [220], spectroscopy [221] and communications [222].…”

Section: Applicationsmentioning

confidence: 99%

Review of fabrication methods of large-area transparent graphene electrodes for industry

Mustonen

Mackenzie

Lipsanen

2020

Front. Optoelectron.

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Graphene is a two-dimensional material showing excellent properties for utilization in transparent electrodes; it has low sheet resistance, high optical transmission and is flexible. Whereas the most common transparent electrode material, tin-doped indium-oxide (ITO) is brittle, less transparent and expensive, which limit its compatibility in flexible electronics as well as in low-cost devices. Here we review two large-area fabrication methods for graphene based transparent electrodes for industry: liquid exfoliation and low-pressure chemical vapor deposition (CVD). We discuss the basic methodologies behind the technologies with an emphasis on optical and electrical properties of recent results. State-of-the-art methods for liquid exfoliation have as a figure of merit an electrical and optical conductivity ratio of 43:5, slightly over the minimum required for industry of 35, while CVD reaches as high as 419.

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“…[12] Recently, the optical sensor based on the photonic SHE has been proposed. [13][14][15][16] However, photonic SHE is a weak effect whose spin-dependent transverse splitting is usually limited to the subwavelength scale. Therefore, it cannot be directly observed with conventional experimental methods, and the successful detection must be incor-porated with quantum weak measurements.…”

Section: Introductionmentioning

confidence: 99%

Photonic spin Hall effect and terahertz gas sensor via InSb-supported long-range surface plasmon resonance

et al. 2022

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The photonic spin Hall effect (SHE), featured by a spin-dependent transverse shift of left- and right-handed circularly polarized light, holds great potential for applications in optical sensors, precise metrology and nanophotonic devices. In this paper, we present the significant enhancement of photonic SHE in the terahertz range by considering the InSb-supported long-range surface plasmon resonance (LRSPR) effect. The influences of the InSb/ENZ layer thickness and temperature on the photonic SHE were investigated. With the optimal structural parameters and temperature, the maximal spin shift of the horizontal polarization light can reach up to 2.68 mm. Moreover, the spin shift is very sensitive to the refractive index change of gas, and thus a terahertz gas sensing device with a superior intensity sensitivity of 2.5 × 105 μm/RIU is proposed. These findings provide an effective method to enhance the photonic SHE in the terahertz range and therefore offer the opportunity for developing the terahertz optical sensors based on photonic SHE.

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Highly sensitive biosensor with graphene-MoS2 heterostructure based on photonic spin Hall effect

Cited by 38 publications

References 35 publications

A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

Review of fabrication methods of large-area transparent graphene electrodes for industry

Photonic spin Hall effect and terahertz gas sensor via InSb-supported long-range surface plasmon resonance

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