Magnetic Field Sensing Based on Multimode Fiber Specklegrams

Zhu, Runze; Wan, Shengjie; Xiong, Yifeng; Feng, Hao-gong; Chen, Ye; Lu, Yanqing; Xu, Fei

doi:10.1109/jlt.2021.3067332

Cited by 28 publications

(9 citation statements)

References 34 publications

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“…[24,25] The response of the Au/Co/Au sensor toward the magnetic field with 0, 6, 9, and 12 nm Co layers was 0, 4219.29, 76.89, and 43.68 mT unit reflectivity À1 (saturation magnetization strength approximately 40 mT from Figure 7d), better than the previous report. [26][27][28][29][30] The ultrahigh response is attributed to the strong local electric field on the surface of the Au/Co/Au film under the surface plasmon resonance (Figure 5). [31,32] The full width at half maxima (FWHM), a pivotal point to evaluate the sensing characteristic of the SPR sensor, of Au/Co/Au magnetic sensor with different thicknesses of Co layer (0, 6, 9, 12 nm) is 0, 8.8, 11.9, 12.4, and 12.6, respectively, which rises with the thickness of Co increase, due to the ohmic loss of Co.…”

Section: Resultsmentioning

confidence: 99%

Magnetic Field Sensor Based on Magnetic Optical Surface Plasmon Resonance

Liu

Wang

Zhang

2023

Advanced Photonics Research

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Surface plasmon resonance with high sensitivity is widely used in molecular dynamics detection. Herein, a magneto‐optic surface plasmon resonance (MOSPR) sensor based on Au/Co/Au thin film for detecting magnetic fields is developed. The strong coupling between the magneto‐optical waveguide mode and the surface plasmon resonance mode is analyzed and the linear relationship between the reflectivity of the MOSPR sensor and the magnetic field is established. The response, response–recovery time, and dispersion relationship for different magnetic fields are also numerically simulated. Additionally, experimental data on the MOSPR sensor's response to magnetic fields at room temperature (25 °C) are obtained. During the experiment, a differential signal in the light path is applied to reduce the noise generated by the environment. The results demonstrate that the MOSPR sensor exhibits high response, ultrafast response time, and long‐term stability. The study provides a promising approach for detecting magnetic fields with high sensitivity and accuracy.

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Section: Resultsmentioning

confidence: 99%

Magnetic Field Sensor Based on Magnetic Optical Surface Plasmon Resonance

Liu

Wang

Zhang

2023

Advanced Photonics Research

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“…However, we can provide a few examples of widely utilized MMF sensors to illustrate the boundless applicability of MMF sensors. These include magnetic field sensing [112][113][114][115][116], distributed acoustic sensing [117], fluidic flow measurement [118], steel corrosion monitoring [119], relative humidity (RH) sensing [120][121][122], gas pressure sensing [103,123,124], and volatile organic compound (VOC) gas detection [125,126]. Table 6 provides a summary of the key parameters for the sensors discussed.…”

Section: Other Sensorsmentioning

confidence: 99%

Multimode optical fiber sensors: from conventional to machine learning-assisted

Wang,

Mizuno,

Dong

et al. 2023

Meas. Sci. Technol.

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Multimode fiber (MMF) sensors have been extensively developed and utilized in various sensing applications for decades. Traditionally, the performance of MMF sensors was improved by conventional methods that focused on structural design and specialty fibers. However, in recent years, the blossom of machine learning techniques has opened up new avenues for enhancing the performance of MMF sensors. Unlike conventional methods, machine learning techniques do not require complex structures or rare specialty fibers, which reduces fabrication difficulties and lowers costs. In this review, we provide an overview of the latest developments in MMF sensors, ranging from conventional methods to those assisted by machine learning. This article begins by categorizing MMF sensors based on their sensing applications, including temperature and strain sensors, displacement sensors, refractive index sensors, curvature sensors, bio/chemical sensors, and other sensors. Their distinct sensor structures and sensing properties are thoroughly reviewed. Subsequently, the machine learning-assisted MMF sensors that have been recently reported are analyzed and categorized into two groups: learning the specklegrams and learning the spectra. The review provides a comprehensive discussion and outlook on MMF sensors, concluding that they are expected to be utilized in a wide range of applications.

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“…Obviously, the combination of plasma fibre‐tip and MF is not the only effective approach to make the measurement more sensitive [12]. It has been suggested that the digital correlation technology can be applied to probe the magnetic field by measuring the shift of speckle pattern, with a sensitivity of 0.00705 mT −1 and a measuring range of 50–100 mT [78]. The shrink of the sensing volume of MFS is of paramount relevance to expanding the application fields.…”

Section: Implementations For Various Magnetic Field Measurementmentioning

confidence: 99%

Optical magnetic field sensors based on nanodielectrics: From biomedicine to IoT‐based energy internet

Zhang

Meng

Han

et al. 2023

IET Nanodielectrics

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Smart sensors with excellent performance are accelerating the development of biomedicine and the Internet of Energy. Nanodielectrics exhibit unique electrical and mechanical properties. As the predominant materials in optical magnetic field sensor (MFS), they can not only exert the anti‐interference of optical sensing, but improve the measuring characteristics of optical sensors. For instance, the optical fibre quantum probe for the magnetic field can obtain a higher sensitivity of 0.57 nT/Hz1/2, while the measurement range of the sensor that uses Co‐doped ZnO nanorods as cladding is 17–180 mT. Here, these exciting recent achievements in the realm of optical sensing methods for magnetic field detection are reviewed, with a focus on nanodielectrics, which provide an emerging opportunity to achieve higher sensitivity and a wider measurement range of MFS.

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Magnetic Field Sensing Based on Multimode Fiber Specklegrams

Cited by 28 publications

References 34 publications

Magnetic Field Sensor Based on Magnetic Optical Surface Plasmon Resonance

Magnetic Field Sensor Based on Magnetic Optical Surface Plasmon Resonance

Multimode optical fiber sensors: from conventional to machine learning-assisted

Optical magnetic field sensors based on nanodielectrics: From biomedicine to IoT‐based energy internet

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