A Remote Noninvasive Thermometer Based on Faraday Rotation of Magnetic Nanoparticles

Magnetic nanoparticles (MNPs) are temperature sensitive, making them useful as probes for measuring cellular temperature. In this article, we propose a remote noninvasive thermometer that replaces a traditional magnetic sensor with linearly polarized light as the transmission medium, utilizing the Faraday rotation of MNPs. This method not only overcomes the limitations of distance on temperature measurement accuracy but also offers strong anti-interference capabilities. Using this thermometer, we measured the cooling process of MNPs within a temperature range of 310–316 K, achieving an estimated temperature root-mean-square error (RMSE) of 0.14 K. This approach shows promise for integration with microscopy systems for temperature imaging of cells or biological tissues, potentially revealing new biological insights.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2024-12-26
DOI
https://doi.org/10.1109/tim.2024.3522686
Citations
1
Primary Topic
Optical Polarization and Ellipsometry
Type
article
Field-Weighted Citation Impact
0.18

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A Remote Noninvasive Thermometer Based on Faraday Rotation of Magnetic Nanoparticles

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article

A Remote Noninvasive Thermometer Based on Faraday Rotation of Magnetic Nanoparticles

Ryszard Buczyński, Xinchao Cui, Chunping Liu, Wenzhong Liu, Chong Lu
article en
1 citations

Abstract

Magnetic nanoparticles (MNPs) are temperature sensitive, making them useful as probes for measuring cellular temperature. In this article, we propose a remote noninvasive thermometer that replaces a traditional magnetic sensor with linearly polarized light as the transmission medium, utilizing the Faraday rotation of MNPs. This method not only overcomes the limitations of distance on temperature measurement accuracy but also offers strong anti-interference capabilities. Using this thermometer, we measured the cooling process of MNPs within a temperature range of 310–316 K, achieving an estimated temperature root-mean-square error (RMSE) of 0.14 K. This approach shows promise for integration with microscopy systems for temperature imaging of cells or biological tissues, potentially revealing new biological insights.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Union Hospital (HK), University of Warsaw (PL), Huazhong University of Science and Technology (CN), AGH University of Krakow (PL)
Department of Science and Technology of Jilin Province, National Key Research and Development Program of China
Openalex Percentile: Top 49%
Optical Polarization and Ellipsometry
0.18
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