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Dielectric property measurement of human sweat using attenuated total reflection terahertz time domain spectroscopy.
Hashimoto, Kazuma; Ben Ishai, Paul; Bründermann, Erik; Tripathi, Saroj R.
Afiliação
  • Hashimoto K; Department of Mechanical Engineering, Shizuoka University, 3-5-1 Johoku, Hamamatsu, Shizuoka 432-8561, Japan.
  • Ben Ishai P; Department of Physics, Ariel University, P.O.B. 3, Ariel 40700, Israel.
  • Bründermann E; Graduate School of Science and Technology, Shizuoka University, 3-5-1 Johoku, Hamamatsu, Shizuoka 432-8561, Japan.
  • Tripathi SR; Institute for Beam Physics and Technology, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany.
Biomed Opt Express ; 13(9): 4572-4582, 2022 Sep 01.
Article em En | MEDLINE | ID: mdl-36187269
ABSTRACT
Sweat is one of the essential biofluids produced by the human body, and it contains various physiological biomarkers. These biomarkers can indicate human health conditions such as disease and illness. In particular, imbalances in the concentration of electrolytes can indicate the onset of disease. These same imbalances affect the dielectric properties of sweat. In this study, we used attenuated total reflection terahertz time domain spectroscopy to obtain the frequency-dependent dielectric properties of human sweat in a frequency range from 200 GHz to 2.5 THz. We have investigated the variation of dielectric properties of sweat collected from different regions of the human body, and we have observed that the real and imaginary part of dielectric permittivity decreases with the increase in frequency. A combination of left-hand Jonscher and Havriliak-Negami processes is used to model the results and reveal the presence of relaxation processes related to sodium and calcium ions concentrations. This information may help design novel biosensors to understand the human health condition and provide a hydration assessment.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article