Graphene Oxide Sensitized No-Core Fiber Step-Index Distribution Sucrose Sensor

Xiao, Gongli; Zhang, Kaifu; Yang, Yuting; Yang, Hongyan; Guo, Ling; Li, Jianqing; Yuan, Libo

doi:10.3390/photonics7040101

Cited by 17 publications

(15 citation statements)

References 42 publications

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“…The non-linear change happens due to the nonlinearity of evanescent wave energy when interacting with the analyte medium [21]. However, there is an extremely small change that occurred at the 5 µm cladding thickness.…”

Section: Resultsmentioning

confidence: 99%

“…Despite the curve nonlinearity, Xiao et al suggested an easy determination of sensor sensitivity by evaluating the changes in linear t [21]. Thus, Table 1 shows the sensitivity changes towards the cladding thickness determined from the slope of the linear t. It can be concluded that the cladding thickness extremely affects the sensitivity of the planar waveguide sensor.…”

Section: Resultsmentioning

confidence: 99%

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Design Optimisation of Optical Planar Waveguide Sensor for Microplastics Detection in Water

Hanafi

Razali

Idrus

et al. 2022

Preprint

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Nowadays, microplastics pollution has become a global concern as it endangers the ecology and marine animals and causes health threats to human beings. This paper demonstrated a simulation of an optical planar waveguide sensor design for microplastics detection in water via Wave Optics Module-COMSOL Multiphysics®. The design optimisation of the sensor was conducted by changing the cladding thickness ranging from 0 to 5 µm. The change in analyte refractive index ranging from 1.480 to 1.500 refractive index unit (RIU) in reference to the microplastics’ refractive index has been performed to evaluate the simulated sensing performance. The simulation results showed that reducing the cladding thickness can vastly improve the sensor sensitivity. The sensor showed the highest sensitivity in the absence of cladding layer i.e.; the cladding thickness of 0 µm with 107 difference in the order of magnitude of sensitivity compared to that of 5-µm thickness. Thus, the optimised sensor design with 0 µm cladding thickness assures an excellent sensor for microplastics detection in water.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Design Optimisation of Optical Planar Waveguide Sensor for Microplastics Detection in Water

Hanafi

Razali

Idrus

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Consequently, it is possible to improve the sensing field of the sensor through these excellent properties. This research provides a novel method for us to detect sucrose solution [ 101 ].…”

Section: Progress Of Graphene Optical Fiber Biochemical Sensormentioning

confidence: 99%

“…( f ) The relationship between the characteristic wavelength and the refractive index of the coated and uncoated GO. Reproduced from [ 101 ] with permission of the Multidisciplinary Digital Publishing Institute.…”

Section: Figurementioning

confidence: 99%

Progress on Optical Fiber Biochemical Sensors Based on Graphene

et al. 2022

Self Cite

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Graphene, a novel form of the hexagonal honeycomb two-dimensional carbon-based structural material with a zero-band gap and ultra-high specific surface area, has unique optoelectronic capabilities, promising a suitable basis for its application in the field of optical fiber sensing. Graphene optical fiber sensing has also been a hotspot in cross-research in biology, materials, medicine, and micro-nano devices in recent years, owing to prospective benefits, such as high sensitivity, small size, and strong anti-electromagnetic interference capability and so on. Here, the progress of optical fiber biochemical sensors based on graphene is reviewed. The fabrication of graphene materials and the sensing mechanism of the graphene-based optical fiber sensor are described. The typical research works of graphene-based optical fiber biochemical sensor, such as long-period fiber grating, Bragg fiber grating, no-core fiber and photonic crystal fiber are introduced, respectively. Finally, prospects for graphene-based optical fiber biochemical sensing technology will also be covered, which will provide an important reference for the development of graphene-based optical fiber biochemical sensors.

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“…Single mode-no-core-single mode (SNS) fiber has attracted interest in applications as a refractive index (RI) sensor [1][2][3]. The no-core fiber (NCF) that is sandwiched between the single mode fiber (SMF) plays an important role as a sensing region.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Self-Image Interference in Single Mode-No-Core-Single Mode Fiber with COMSOL Multiphysics®

Razali

Lokman

Zuikafly

et al. 2022

J. Phys.: Conf. Ser.

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Self-image interference in a single mode-no-core-single mode fiber plays an important role especially for length optimization before acting as a sensor. The interference can be observed through optical simulation software. Past literature has successfully demonstrated the interference via COMSOL Multiphysics®, but the simulation was not restricted to the use of important domains and settings such as perfectly matched layer and surrounding domain causing imprecise simulation results. This paper proposes a simulation of self-image interference in a single mode-no-core-single mode fiber by using the wave-optics module in COMSOL Multiphysics® software. The beam propagation method is used to observe the self-image interference for different self-image indexes ranging from one to four indexes while the self-image length is obtained from the theoretical calculation before a simulation is carried out. The results show that accurate results can be obtained with restricted simulation settings. The number of the self-image index and self-image length produced by the simulation are similar to the calculation. The self-image point is located exactly at the calculated length with a four-decimal point 0.0000 difference, thus overcoming the limitation of the simulated previous work. In the future, the simulation settings and results can be used for reference to simulate the single mode- no-core-single mode fiber structure.

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Graphene Oxide Sensitized No-Core Fiber Step-Index Distribution Sucrose Sensor

Cited by 17 publications

References 42 publications

Design Optimisation of Optical Planar Waveguide Sensor for Microplastics Detection in Water

Design Optimisation of Optical Planar Waveguide Sensor for Microplastics Detection in Water

Progress on Optical Fiber Biochemical Sensors Based on Graphene

Simulation of Self-Image Interference in Single Mode-No-Core-Single Mode Fiber with COMSOL Multiphysics®

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