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Terahertz biophotonics as a tool for studies of dielectric and spectral properties of biological tissues and liquids

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Smolyanskaya, O.A., Chernomyrdin, N.V., Konovko, A.A., Zaytsev, K.I., Ozheredov, I.A., Cherkasova, O.P., Nazarov, M.M., Guillet, J.-P., Kozlov, S.A., Kistenev, Yu. V., Coutaz, J.-L., Mounaix, P., Vaks, V.L., Son, J.-H., Cheon, H., Wallace, V.P., Feldman, Yu., Popov, I., Yaroslavsky, A.N., Shkurinov, A.P., Tuchin, V.V.·2018·Progress in Quantum Electronics
DOI 10.1016/j.pquantelec.2018.10.001
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Abstract

Abstract In this review, we describe dielectric properties of biological tissues and liquids in the context of terahertz (THz) biophotonics. We discuss a model of the THz dielectric permittivity of water and water-containing media, which yields analysis of the relaxation and damped resonant molecules modes. We briefly describe modern techniques of THz spectroscopy and imaging employed in biophotonics with a strong emphasize on a THz time-domain spectroscopy. Furthermore, we consider the methods of sub-wavelength resolution THz imaging and the problem of THz wave delivery to hard to access tissues and internal organs. We consider the THz dielectric properties of biological solutions and liquids. Although strong absorption by water molecules prevents THz-waves from penetration of hydrated tissues and probing biological molecules in aqueous solutions, we discuss approaches for overcoming these drawbacks – novel techniques of freezing and temporal dehydration by application of hyperosmotic agents which have a potential for cancer detection. We review recent applications of THz technology in diagnosis of malignancies and aiding histology paying particular attention to the origin of contrast observed between healthy and pathological tissues. We consider recent applications of THz reflectometry in sensing the thinning dynamics of human pre-corneal tear film. Modern modalities of THz imaging, which relies on the concepts of multi-spectral and multi-temporal domains and employing the principles of color vision, phase analysis and tomography are discussed. Novel methods of THz spectra analysis based on machine learning, pattern recognition, chemical imaging and the revealing of the spatial distribution of various substances in a tissue, are analyzed. Advanced thermal model describing biological object irradiated by THz waves and phantoms mimicking the optical properties of tissues at THz frequencies are presented. Finally, application of the high-resolution THz spectroscopy in analytic chemistry, biology and medicine are described.

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Metadata

Authors
Smolyanskaya, O. A., Chernomyrdin, N. V., Konovko, A. A., Zaytsev, K. I., Ozheredov, I. A., Cherkasova, O. P., Nazarov, M. M., Guillet, J.-P., Kozlov, S. A., Kistenev, Y. V., Coutaz, J.-L., Mounaix, P., Vaks, V. L., Son, J.-H., Cheon, H., Wallace, V. P., Feldman, Y., Popov, I., Yaroslavsky, A. N., Shkurinov, A. P., & Tuchin, V. V.
Venue
Progress in Quantum Electronics
Publisher
Elsevier BV
Published
2018-11
Volume
62
Pages
1-77
ISSN
0079-6727 (ISSN-L)
DOI
10.1016/j.pquantelec.2018.10.001
OpenAlex
W2900326087
Cited by
292
References
243
FWCI
13.74
Type
journal article
Language
en
Open access
green
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Funders
  • Russian Foundation for Basic Research
  • KOMFI (# 17-00-00275, # 17-00-00270, # 17-00-00272, # 17-00-00184, # 17-00-00186)
  • Presidium of the Russian Academy of Sciences (# 32)
  • RFBR (# 15-29-03900, # 16-52-76011 ERA_a, # 16-29-11763, # 17-02-00358, # 17-08-00803, # 17-38-80057, # 18-51-16002, # 18-52-16017, # 18-42-520050 r-a, # 18-52-16025, # 18-38-00504, # 18-29-02060)
  • Lomonosov Moscow State University Program of Development (# NSh-9695.2016.2)
  • NUST ”MISiS” (#K2-2017-003)
  • Sechenov University (# 17.1223.2017/AP)
  • Russian Science Foundation (# 17-79-20346, # 18-12-00328)
  • Institute for Information & Communications Technology Promotion (IITP) (#2017-0-00422)
  • National Research Foundation of Korea (NRF)
  • Korea government (MSIT) (# NRF-2017R1A2B2007827)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Terahertz biophotonics as a tool for studies of dielectric and spectral properties of biological tissues and liquids. https://app.cochat.ai/papers/10.1016/j.pquantelec.2018.10.001
The paper
Smolyanskaya, O. A., Chernomyrdin, N. V., Konovko, A. A., Zaytsev, K. I., Ozheredov, I. A., Cherkasova, O. P., Nazarov, M. M., Guillet, J.-P., Kozlov, S. A., Kistenev, Y. V., Coutaz, J.-L., Mounaix, P., Vaks, V. L., Son, J.-H., Cheon, H., Wallace, V. P., Feldman, Y., Popov, I., Yaroslavsky, A. N., . . . Tuchin, V. V. (2018). Terahertz biophotonics as a tool for studies of dielectric and spectral properties of biological tissues and liquids. Progress in Quantum Electronics. https://doi.org/10.1016/j.pquantelec.2018.10.001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.