Real-time temperature monitoring with high accuracy and spatiotemporal resolution is critical for many biological applications, including disease diagnosis, drug delivery, and biomedical research. However, traditional methods for measuring temperature in biological systems present difficulties for a variety of reasons, such as slow response time, limited spatial resolution, low amplitude, and susceptibility to electromagnetic interference. Most importantly, in many cases, the thermal mass of temperature probes limits the accuracy and speed of measurement significantly. Here, we show that photonic microring resonators (MRRs) can be used for sensitive, precise, and high spatiotemporal resolution measurement of temperature in the biological milieu. The high refractive index of Si MRR and negligible thermal mass enable sensitive, ultrafast, and accurate temperature transients. By using a double resonator circuit, we demonstrate that MRR sensors can measure temperature with a 1 mm spatial resolution. We then show that MRR yields more accurate results than fiber optic probes for measuring temperature transients. Finally, we demonstrate the localized temperature measurement capability of MRRs in mouse brain tissue heated by superparamagnetic nanoparticles in an alternating magnetic field. This compact, lab-on-chip photonic temperature sensing platform holds great promise for continuous monitoring of temperature in critical biological and biomedical applications.
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20 May 2024
Research Article|
May 23 2024
Sensitive, accurate, and high spatiotemporal resolution photonic thermometry Available to Purchase
Sakib Hassan
;
Sakib Hassan
(Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing)
1
Department of Electrical and Computer Engineering, Rice University
, Houton, Texas 77005, USA
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Jeannette Ingabire
;
Jeannette Ingabire
(Investigation, Methodology, Validation, Writing – review & editing)
2
Systems, Synthetic, and Physical Biology Program, Institute of Biosciences and Bioengineering, Rice University
, Houton, Texas 77005, USA
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Xuan Zhao
;
Xuan Zhao
(Investigation, Validation, Writing – review & editing)
3
Applied Physics Program, Rice University
, Houton, Texas 77005, USA
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Joseph Asfouri
;
Joseph Asfouri
(Investigation, Software, Validation, Visualization, Writing – review & editing)
1
Department of Electrical and Computer Engineering, Rice University
, Houton, Texas 77005, USA
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Jacob T. Robinson
Jacob T. Robinson
a)
(Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing – review & editing)
1
Department of Electrical and Computer Engineering, Rice University
, Houton, Texas 77005, USA
a)Author to whom correspondence should be addressed: [email protected]
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Sakib Hassan
1
Jeannette Ingabire
2
Xuan Zhao
3
Joseph Asfouri
1
Jacob T. Robinson
1,a)
1
Department of Electrical and Computer Engineering, Rice University
, Houton, Texas 77005, USA
2
Systems, Synthetic, and Physical Biology Program, Institute of Biosciences and Bioengineering, Rice University
, Houton, Texas 77005, USA
3
Applied Physics Program, Rice University
, Houton, Texas 77005, USA
a)Author to whom correspondence should be addressed: [email protected]
Appl. Phys. Lett. 124, 211102 (2024)
Article history
Received:
February 10 2024
Accepted:
May 12 2024
Citation
Sakib Hassan, Jeannette Ingabire, Xuan Zhao, Joseph Asfouri, Jacob T. Robinson; Sensitive, accurate, and high spatiotemporal resolution photonic thermometry. Appl. Phys. Lett. 20 May 2024; 124 (21): 211102. https://doi.org/10.1063/5.0198346
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