Flexible thin-film thermal sensor for estimating thermal transport properties designed for biomaterial applications

This study develops a flexible thin-film thermal sensor for estimating the key thermal transport properties of biomaterials, namely thermal conductivity, volumetric heat capacity, and thermal contact resistance. The sensor included a circular thin-film heater and three thin-film NTC thermistors mounted on a polyimide substrate, enabling simultaneous temperature measurements in regions of heat concentration and diffusion. These measurements were used in an inverse analysis based on a three-dimensional heat conduction model. To account for the variability in contact conditions, the thermal contact resistance between the sensor and sample surface was included as an unknown parameter. A trust-region reflective algorithm was used for robust minimization of the objective function. Validation was conducted using standard materials with known properties and porcine fat as a biological sample. The results showed excellent agreement between the measured and simulated temperature profiles. The estimated values for thermal conductivity and volumetric heat capacity closely matched reference values, and the thermal contact resistance was consistently in the order of 10<sup>-4</sup> (m<sup>2</sup> K)/W, likely owing to surface roughness. These results demonstrate the effectiveness of the proposed sensor and the inverse analysis method in enabling noninvasive and accurate evaluation of thermal transport properties in soft biological tissues.

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Publication Details

Journal
Scientific Reports
Published
2025-05-28
DOI
https://doi.org/10.1038/s41598-025-03304-0
Citations
3
Primary Topic
Infrared Thermography in Medicine
Type
article
Field-Weighted Citation Impact
4.08
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article

Flexible thin-film thermal sensor for estimating thermal transport properties designed for biomaterial applications

Hiyama Yujiro, Takahiro Okabe, Katsuhisa Taguchi, Ayumi Shiroto
3 citations
Scientific Reports
Infrared Thermography in Medicine
4.08
article

Flexible thin-film thermal sensor for estimating thermal transport properties designed for biomaterial applications

Hiyama Yujiro, Takahiro Okabe, Katsuhisa Taguchi, Ayumi Shiroto
article en
3 citations

Abstract

This study develops a flexible thin-film thermal sensor for estimating the key thermal transport properties of biomaterials, namely thermal conductivity, volumetric heat capacity, and thermal contact resistance. The sensor included a circular thin-film heater and three thin-film NTC thermistors mounted on a polyimide substrate, enabling simultaneous temperature measurements in regions of heat concentration and diffusion. These measurements were used in an inverse analysis based on a three-dimensional heat conduction model. To account for the variability in contact conditions, the thermal contact resistance between the sensor and sample surface was included as an unknown parameter. A trust-region reflective algorithm was used for robust minimization of the objective function. Validation was conducted using standard materials with known properties and porcine fat as a biological sample. The results showed excellent agreement between the measured and simulated temperature profiles. The estimated values for thermal conductivity and volumetric heat capacity closely matched reference values, and the thermal contact resistance was consistently in the order of 10<sup>-4</sup> (m<sup>2</sup> K)/W, likely owing to surface roughness. These results demonstrate the effectiveness of the proposed sensor and the inverse analysis method in enabling noninvasive and accurate evaluation of thermal transport properties in soft biological tissues.

Scientific ReportsVol. 15(1)
Hirosaki University (JP), Sumco Corporation (Japan) (JP)
Affordable and clean energy
Openalex Percentile: Top 6%
Infrared Thermography in Medicine
4.08
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Flexible thin-film thermal sensor for estimating thermal transport properties designed for biomaterial applications — Hiyama Yujiro, Takahiro Okabe, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS