Journal Home > Volume 17 , Issue 5

The revelation of thermal energy exchange mechanism of human body is challenging yet worthwhile, because it can clearly explain the changes in human symptoms and health status. Understanding, the heat transfer of the skin is significant because the skin is the foremost organ for the energy exchange between the human body and the environment. In order to diagnose the physiological conditions of human skin without causing any damage, it is necessary to use a non-invasive measurement technique by means of a conformal flexible sensor. The harmonic method can minimize the thermal-induced injury to the skin due to its low heat generating properties. A novel type of computational theory assessing skin thermal conductivity, blood perfusion rate of capillaries in the dermis, and superficial subcutaneous tissues was formed by combining the multi-medium thermal diffusion model and the bio-thermal model (Pennes equation). The skins of the hand back of six healthy subjects were measured. It was found that the results revealed no consistent changes in thermal conductivity were observed across genders and ages. The measured blood perfusion rates were within the range of human capillary flow. It was found that female subjects had a higher perfusion rate range (0.0058–0.0061 s−1) than male subjects (0.0032–0.0049 s−1), which is consistent with invasive medical studies about the gender difference in blood flow rates and stimulated effects in relaxation situations.


menu
Abstract
Full text
Outline
Electronic supplementary material
About this article

A harmonic-wave bio-thermal method for continuous monitoring skin thermal conductivity and capillary perfusion rate

Show Author's information Yuxin Ouyang1,§Jie Lin2,§Jiajing Pei3Rui Sui4Di Liu5( )Yanhui Feng1( )Lin Qiu1,§( )
School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China
Beijing Synchrotron Radiation Facility, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
Department of Chemistry, Tsinghua University, Beijing 100084, China
Institute of Analysis and Testing, Beijing Academy of Science and Technology, Beijing 100089, China

§ Yuxin Ouyang, Jie Lin, and Lin Qiu contributed equally to this work.

Abstract

The revelation of thermal energy exchange mechanism of human body is challenging yet worthwhile, because it can clearly explain the changes in human symptoms and health status. Understanding, the heat transfer of the skin is significant because the skin is the foremost organ for the energy exchange between the human body and the environment. In order to diagnose the physiological conditions of human skin without causing any damage, it is necessary to use a non-invasive measurement technique by means of a conformal flexible sensor. The harmonic method can minimize the thermal-induced injury to the skin due to its low heat generating properties. A novel type of computational theory assessing skin thermal conductivity, blood perfusion rate of capillaries in the dermis, and superficial subcutaneous tissues was formed by combining the multi-medium thermal diffusion model and the bio-thermal model (Pennes equation). The skins of the hand back of six healthy subjects were measured. It was found that the results revealed no consistent changes in thermal conductivity were observed across genders and ages. The measured blood perfusion rates were within the range of human capillary flow. It was found that female subjects had a higher perfusion rate range (0.0058–0.0061 s−1) than male subjects (0.0032–0.0049 s−1), which is consistent with invasive medical studies about the gender difference in blood flow rates and stimulated effects in relaxation situations.

Keywords: thermal conductivity, blood perfusion rate, harmonic method, Pennes equation

References(37)

[1]

Kluger, M. J.; Kozak, W.; Conn, C. A.; Leon, L. R.; Soszynski, D. Role of fever in disease. Ann. N. Y. Acad. Sci. 1998, 856, 224–233.

[2]

Kelly, G. S. Body temperature variability (Part 2): Masking influences of body temperature variability and a review of body temperature variability in disease. Altern. Med. Rev. 2007, 12, 49–62.

[3]

Wright, K. P.; Hull, J. T.; Czeisler, C. A. Relationship between alertness, performance, and body temperature in humans. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2002, 283, R1370–R1377.

[4]

Zhao, H. S.; Zhao, C. Q.; Liu, Z. W.; Yi, J. D.; Liu, X. M.; Ren, J. S.; Qu, X. G. A polyoxometalate-based pathologically activated assay for efficient bioorthogonal catalytic selective therapy. Angew. Chem., Int. Ed. 2023, 62, e202303989.

[5]

Sugiura, T.; Matsuki, D.; Okajima, J.; Komiya, A.; Mori, S.; Maruyama, S.; Kodama, T. Photothermal therapy of tumors in lymph nodes using gold nanorods and near-infrared laser light with controlled surface cooling. Nano Res. 2015, 8, 3842–3852.

[6]

Liu, S.; Pan, X. T.; Liu, H. Y. Two-dimensional nanomaterials for photothermal therapy. Angew. Chem., Int. Ed. 2020, 59, 5890–5900.

[7]

Bowman, H. F.; Balasubramaniam, T. A. A new technique utilizing thermistor probes for the measurement of thermal properties of biomaterials. Cryobiology 1976, 13, 572–580.

[8]

Kharalkar, N. M.; Hayes, L. J.; Valvano, J. W. Pulse-power integrated-decay technique for the measurement of thermal conductivity. Meas. Sci. Technol. 2008, 19, 075104.

[9]

Bakker, A.; Zweije, R.; van Tienhoven, G.; Kok, H. P.; Sijbrands, J.; van den Bongard, H. J. G. D.; Rasch, C. R. N.; Crezee, H. Two high-resolution thermal monitoring sheets for clinical superficial hyperthermia. Phys. Med. Biol. 2020, 65, 175021.

[10]

Valvano, J. W.; Allen, J. T.; Walsh, J. T.; Hnatowich, D. J.; Tomera, J. F.; Brunengraber, H.; Bowman, H. F. An isolated rat liver model for the evaluation of thermal techniques to quantify perfusion. J. Biomech. Eng. 1984, 106, 187–191.

[11]
del Rosal, B.; Villa, I.; Jaque, D.; Sanz-Rodríguez, F. In vivo autofluorescence in the biological windows: The role of pigmentation. J. Biophoton. 2016 , 9, 1059–1067.
[12]

Lu, W. B.; Xie, Z. Y.; Tang, Y.; Bai, L.; Yao, Y. Y.; Fu, C.; Ma, G. S. Photoluminescent mesoporous silicon nanoparticles with siCCR2 improve the effects of mesenchymal stromal cell transplantation after acute myocardial infarction. Theranostics 2015, 5, 1068–1082.

[13]
Cahill, D. G. Erratum: “Thermal conductivity measurement from 30 to 750 K: The 3ω method” [Rev. Sci. Instrum. 61, 802 (1990)]. Rev. Sci. Instrum. 2002 , 73, 3701.
[14]

Zhao, D. L.; Qian, X.; Gu, X. K.; Jajja, S. A.; Yang, R. G. Measurement techniques for thermal conductivity and interfacial thermal conductance of bulk and thin film materials. J. Electron. Packag. 2016, 138, 040802.

[15]

Mishra, V.; Hardin, C. L.; Garay, J. E.; Dames, C. A 3 omega method to measure an arbitrary anisotropic thermal conductivity tensor. Rev. Sci. Instrum. 2015, 86, 054902.

[16]

Qiu, L.; Wang, X. T.; Su, G. P.; Tang, D. W.; Zheng, X. H.; Zhu, J.; Wang, Z. G.; Norris, P. M.; Bradford, P. D.; Zhu, Y. T. Remarkably enhanced thermal transport based on a flexible horizontally-aligned carbon nanotube array film. Sci. Rep. 2016, 6, 21014.

[17]

Kong, Q. Y.; Qiu, L.; Lim, Y. D.; Tan, C. W.; Liang, K.; Lu, C. X.; Tay, B. K. Thermal conductivity characterization of three dimensional carbon nanotube network using freestanding sensor-based 3 ω technique. Surf. Coat. Technol. 2018, 345, 105–112.

[18]

Kommandur, S.; Yee, S. A suspended 3-omega technique to measure the anisotropic thermal conductivity of semiconducting polymers. Rev. Sci. Instrum. 2018, 89, 114905.

[19]

Qiu, L.; Ouyang, Y. X.; Feng, Y. H.; Zhang, X. X.; Wang, X. T.; Wu, J. Thermal barrier effect from internal pore channels on thickened aluminum nanofilm. Int. J. Therm. Sci. 2021, 162, 106781.

[20]
Hu, X. J.; Padilla, A. A.; Xu, J.; Fisher, T. S.; Goodson, K. E. 3-Omega measurements of vertically oriented carbon nanotubes on silicon. J. Heat Transfer. 2006 , 128, 1109–1113.
[21]

Qiu, L.; Guo, P.; Kong, Q. Y.; Tan, C. W.; Liang, K.; Wei, J.; Tey, J. N.; Feng, Y. H.; Zhang, X. X.; Tay, B. K. Coating-boosted interfacial thermal transport for carbon nanotube array nano-thermal interface materials. Carbon 2019, 145, 725–733.

[22]

Shafaat, A.; Francisco Gonzalez-Martinez, J.; Silva, W. O.; Lesch, A.; Nagar, B.; Lopes da Silva, Z.; Neilands, J.; Sotres, J.; Björklund, S.; Girault, H. et al. A rapidly responsive sensor for wireless detection of early and mature microbial biofilms. Angew. Chem., Int. Ed. 2023, 62, e202308181.

[23]

Shen, J. D.; Du, P.; Zhou, B. B.; Zhang, G. B.; Tang, X. X.; Pan, J.; Li, B.; Zhang, J. Y.; Lu, J.; Li, Y. Y. An anti-freezing biomineral hydrogel of high strain sensitivity for artificial skin applications. Nano Res. 2022, 15, 6655–6661.

[24]

Xia, S.; Wang, M.; Gao, G. H. Preparation and application of graphene-based wearable sensors. Nano Res. 2022, 15, 9850–9865.

[25]

Qiu, L.; Ouyang, Y. X.; Feng, Y. H.; Zhang, X. X.; Wang, X. T. In vivo skin thermophysical property testing technology using flexible thermosensor-based 3 ω method. Int. J. Heat Mass Transf. 2020, 163, 120550.

[26]

Ouyang, Y. X.; Qiu, L.; Bai, Y. Y.; Yu, W.; Feng, Y. H. Synergistical thermal modulation function of 2D Ti3C2 MXene composite nanosheets via interfacial structure modification. iScience 2022, 25, 104825.

[27]

Feldman, A. Algorithm for solutions of the thermal diffusion equation in a stratified medium with a modulated heating source. High Temp.-High Press. 1996, 31, 293–298.

[28]

Kim, J. H.; Feldman, A.; Novotny, D. Application of the three omega thermal conductivity measurement method to a film on a substrate of finite thickness. J. Appl. Phys. 1999, 86, 3959–3963.

[29]

Jacobi, U.; Gautier, J.; Sterry, W.; Lademann, J. Gender-related differences in the physiology of the stratum corneum. Dermatology 2005, 211, 312–317.

[30]

Cui, Y.; Li, Y. H.; Xing, Y. F. Sweat effects on the thermal analysis of epidermal electronic devices integrated with human skin. Int. J. Heat Mass Transf. 2018, 127, 97–104.

[31]

Okabe, T.; Fujimura, T.; Okajima, J.; Aiba, S.; Maruyama, S. Non-invasive measurement of effective thermal conductivity of human skin with a guard-heated thermistor probe. Int. J. Heat Mass Transf. 2018, 126, 625–635.

[32]

Fujimura, T.; Okabe, T.; Tanita, K.; Sato, Y.; Lyu, C.; Kambayashi, Y.; Maruyama, S.; Aiba, S. A novel technique to diagnose non-melanoma skin cancer by thermal conductivity measurements: Correlations with cancer stromal factors. Exp. Dermatol. 2019, 28, 1029–1035.

[33]

Li, H. J.; Zhang, X. X.; Yi, Y. F. Measurement of blood perfusion using the temperature response to constant surface flux heating. Int. J. Thermophys. 2002, 23, 1631–1644.

[34]

Çetingül, M. P.; Herman, C. A heat transfer model of skin tissue for the detection of lesions: Sensitivity analysis. Phys. Med. Biol. 2010, 55, 5933–5951.

[35]

Boschmann, M.; Rosenbaum, M.; Leibel, R. L.; Segal, K. R. Metabolic and hemodynamic responses to exercise in subcutaneous adipose tissue and skeletal muscle. Int. J. Sports Med. 2002, 23, 537–543.

[36]

Schank, B. J.; Acree, L. S.; Longfors, J.; Gardner, A. W. Differences in vascular reactivity between men and women. Angiology 2006, 57, 702–708.

[37]

Parker, B. A.; Smithmyer, S. L.; Pelberg, J. A.; Mishkin, A. D.; Herr, M. D.; Proctor, D. N. Sex differences in leg vasodilation during graded knee extensor exercise in young adults. J. Appl. Physiol. 2007, 103, 1583–1591.

File
12274_2023_6278_MOESM1_ESM.pdf (1.5 MB)
Publication history
Copyright
Acknowledgements

Publication history

Received: 06 October 2023
Revised: 17 October 2023
Accepted: 18 October 2023
Published: 22 November 2023
Issue date: May 2024

Copyright

© Tsinghua University Press 2023

Acknowledgements

Acknowledgements

This work received financial support from the National Natural Science Foundation of China (Nos. 52222602 and 52201261), Beijing Nova Program (No. 20220484170), Ningbo 3315 Innovative Teams Program (No. 2019A-14-C), and Fundamental Research Funds for the Central Universities (Nos. FRF-TP-22-001C1 and FRF-EYIT-23-05).

Return