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Paper ID:10.55041/IJSREM.ISTCESD044

Thermal and Infrared Biosensors for Biological Signal Detection

Stream/Area:

-

Subject:

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Paper ID:

10.55041/IJSREM.ISTCESD044

Volume:

10 |

9 |

Sep 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem.ISTCESD044

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RDM

Ramakant D. Mali

INDEPENDENT RESEARCHER

P.S.G.V.P.Mandal’s S.I.P. Arts, G.B.P. Science and S.T.K.V.S. Commerce College, Shahada, Dist. Nandurbar (MS)

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SBP

Sagarbhai B. Patel

INDEPENDENT RESEARCHER

P.S.G.V.P.Mandal’s S.I.P. Arts, G.B.P. Science and S.T.K.V.S. Commerce College, Shahada, Dist. Nandurbar (MS)

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Abstract

Thermal (infra-red) biosensors transform heat production, heat distribution, or the way infrared interacts with biological systems, into information about the system. These are wearable thermistors that track skin temperature, IR imaging that maps regional physiology, calorimetric devices that measure the reaction enthalpy, photothermal assays that convert optical absorption to a temperature increase and mid-infrared nanophotonic sensors that detect the molecular vibrational fingerprint. This review will discuss the principles, architectures, applications, and drawbacks of these platforms. Contact thermal sensors offer continuous measurements and can compensate biochemical signals for temperature; whereas non-contact thermography offers spatial maps of inflammation, perfusion, and fever-related pattern in a rapid fashion. Label free detection is possible with reaction-based thermal sensors, as almost all biochemical reactions involve heat exchange. Photothermal amplification enhances the point-of-care readout while surface-enhanced infrared absorption allows for chemically specific protein, lipid and nucleic acid analysis. Though laboratory performance is good, potential translation issues include environmental heat transfer, emissivity, motion, sample-matrix interference, small infrared absorption in the nanoscale, device-to-device variation, and limited clinical validation. Future systems that are most assured will integrate thermal or infrared signatures with complementary biochemical and physiological measurements, provide standardized calibration, integrate microfluidics, and have interpretable machine learning. Thermal and infrared sensing should be considered a family of biosensing technologies; that is, it should be approached as a family of technologies that facilitate a connection between physiological heat, molecular recognition, photonics, and data analytics.

KEYWORDS

Bio inspecting using thermal biosensors infrared thermography photothermal biosensing mid-infrared spectroscopy wearable biosensor meta surface

Cite This Article

Ramakant D. Mali, Sagarbhai B. Patel, "Thermal and Infrared Biosensors for Biological Signal Detection," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 9, pp. 1-8, Sep 2026. https://doi.org/10.55041/ijsrem.ISTCESD044

Full Article/Conclusion

Thermal and infrared signature sensors range over a number of complementary technologies. Continuous local sensor (wearable temperature sensor) is used to improve biochemical-sensor calibration and provide continuous information in real time. Infrared thermography provides fast spatial heat maps of physiological heat. Calorimetric and photothermal biosensors will change biochemical reactions into temperature changes, and nanophotonic mid-infrared sensors will measure molecular composition and structure by vibrational fingerprinting. They both have the advantage of enabling the generation of label-free or minimally invasive data, although they are susceptible to heat transfer, environmental variability, spectral interference, and non-specific relationships with biology. The most powerful systems will involve standardized acquisition, selective recognition chemistry, various sensing modalities and clinically appropriate interpretation. Contextual patterns of thermal and infrared signatures can hence form potent part of accuracy monitoring and diagnostics when they are considered as pattern and not an individual temperature reading.

References

1.                Choi, J., Bandodkar, A. J., Reeder, J. T., Ray, T. R., Turnquist, A., Kim, S. B., Nyberg, N., Hourlier-Fargette, A., Model, J. B., Aranyosi, A. J., Xu, S., Ghaffari, R., & Rogers, J. A. (2019). Soft, skin-integrated multifunctional microfluidic systems for accurate colorimetric analysis of sweat biomarkers and temperature. ACS Sensors, 4(2), 379–388. 2.                Etezadi, D., Warner, J. B., IV, Ruggeri, F. S., Dietler, G., Lashuel, H. A., & Altug, H. (2017). Nanoplasmonic mid-infrared biosensor for in vitro protein secondary structure detection. Light: Science & Applications, 6(8), e17029. 3.                Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., Lien, D.-H., Brooks, G. A., Davis, R. W., & Javey, A. (2016). Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis. Nature, 529(7587), 509–514. 4.                Ghassemi, P., Pfefer, T. J., Casamento, J. P., Simpson, R., & Wang, Q. (2018). Best practices for standardized performance testing of infrared thermographs intended for fever screening. PLOS ONE, 13(9), e0203302. 5.                Hui, X., Yang, C., Li, D., He, X., Huang, H., Zhou, H., Chen, M., Lee, C., & Mu, X. (2021). Infrared plasmonic biosensor with tetrahedral DNA nanostructure as carriers for label-free and ultrasensitive detection of miR-155. Advanced Science, 8(16), 2100583. https://doi.org/10.1002/advs.202100583 6.                Kavungal, D., Magalhães, P., Kumar, S. T., Kolla, R., Lashuel, H. A., & Altug, H. (2023). Artificial intelligence-coupled plasmonic infrared sensor for detection of structural protein biomarkers in neurodegenerative diseases. Science Advances, 9(28), eadg9644. 7.                Khaksari, K., Nguyen, T., Hill, B., Quang, T., Perreault, J., Gorti, V., Malpani, R., Blick, E., González Cano, T., Shadgan, B., & Gandjbakhche, A. H. (2021). Review of the efficacy of infrared thermography for screening infectious diseases with applications to COVID-19. Journal of Medical Imaging, 8(S1), 010901. 8.                Limaj, O., Etezadi, D., Wittenberg, N. J., Rodrigo, D., Yoo, D., Oh, S.-H., & Altug, H. (2016). Infrared plasmonic biosensor for real-time and label-free monitoring of lipid membranes. Nano Letters, 16(2), 1502–1508. 9.                Pauk, J., Wasilewska, A., & Ihnatouski, M. (2019). Infrared thermography sensor for disease activity detection in rheumatoid arthritis patients. Sensors, 19(16), 3444. https://doi.org/10.3390/s19163444 10.             Rodrigo, D., Limaj, O., Janner, D., Etezadi, D., García de Abajo, F. J., Pruneri, V., & Altug, H. (2015). Mid-infrared plasmonic biosensing with graphene. Science, 349(6244), 165–168.

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Publication Date

9/28/2026

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Double-Blind Peer Review

Review Rounds: 2

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