Effective permittivity of biological tissue: comparison of theoretical model and experiment
type: Item
instance of: scholarly article
title: Effective permittivity of biological tissue: comparison of theoretical model and experiment
zbMATH Open document ID: 1426.74229
DOI: 10.1155/2017/7249672
author: Li Gun
author: Du Ning
author: Zhang Liang
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: Summary: Permittivity of biological tissue is a critical issue for studying the biological effects of electromagnetic fields. Many theories and experiments were performed to measure or explain the permittivity characteristics in biological tissue. In this paper, we investigate the permittivity parameter in biological tissues via theoretical and experimental analysis. Firstly, we analyze the permittivity characteristic in tissue by using theories on composite material. Secondly, typical biological tissues, such as blood, fat, liver, and brain, are measured by \textit{HP4275A} Multi-Frequency LCR Meter within 10 kHz to 10 MHz. Thirdly, experimental results are compared with the Bottcher-Bordewijk model, the Skipetrov equation, and the Maxwell-Gannett theory. From the theoretical perspective, blood and fat are regarded as the composition of liver and brain because of the high permittivity in blood and the opposite in fat. Volume fraction of blood in liver and brain is analyzed theoretically, and the applicability and the limitation of the models are also discussed. These results benefit further study on local biological effects of electromagnetic fields.
Mathematics Subject Classification ID: 74L15
Mathematics Subject Classification ID: 92C30
Mathematics Subject Classification ID: 92C35
zbMATH DE Number: 6972433
Wikidata QID: Q58028426
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/7249672
OpenAlex ID: W2710145004
cites work: Estimation of red blood cell volume fraction from overall permittivity measurements
description: scientific article; zbMATH DE number 6972433