Terahertz time-domain spectroscopy for non-invasive assessment of water content in biological samples

Abstract

We apply terahertz time-domain spectroscopy for the quantitative non-invasive assessment of the water content in biological samples, such as Carpinus caroliniana tree leaves and pork muscles. The developed experimental terahertz time-domain spectroscopy system operates both in transmission and reflection modes. The Landau-Looyenga-Lifshitz-based model is used for the calculation of the water concentration within the samples. The results of the water concentration measurements are compared with the results of the gravimetric measurements. The obtained results show that the water content in biological samples can be measured non-invasively, with a high accuracy, utilizing terahertz waves in transmission and reflection modes.

Publication DOI: https://doi.org/10.1364/BOE.9.002266
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences
Funding Information: Government of Russian Federation (074-U01); the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement (713606); Academy of Finland (grant 290596); MEPhI Academic Excellence Project (Contract No.:
Additional Information: © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Uncontrolled Keywords: Medical and biological imaging,Optical diagnostics for medicine,Spectroscopy, terahertz,Terahertz imaging,Tissue,Biotechnology,Atomic and Molecular Physics, and Optics
Publication ISSN: 2156-7085
Last Modified: 29 Oct 2024 14:34
Date Deposited: 16 Jul 2019 07:59
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.osa ... ri=boe-9-5-2266 (Publisher URL)
PURE Output Type: Article
Published Date: 2018-05-01
Published Online Date: 2018-04-20
Accepted Date: 2018-03-15
Authors: Borovkova, Mariia
Khodzitsky, Mikhail
Demchenko, Petr
Cherkasova, Olga
Popov, Alexey
Meglinski, Igor (ORCID Profile 0000-0002-7613-8191)

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