Characterization of volumetric change in collagen using THz time domain spectroscopy for in-body nanonetworks

Nishtha Chopra, Jamie Upton, Mike Philpott, Akram Alomainy, Qammer H. Abbasi, Khalid Qaraqe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we present the experimental validation of material properties of dermis layer of the skin via THz Time Domain Spectroscopy. The skin layer is biologically modeled with a fibrous protein structure collagen and fibroblast cells. The variation of hydration level is investigated by decreasing the volume of type 1 collagen reagent. The refractive index value demonstrates that there is negligible change with variation in volume. These results highlight the fact that collagen reagent variation doesn't influence the water dynamics and hence pathloss parameters will remain unaffected.

Original languageEnglish
Title of host publicationProceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450340618
DOIs
Publication statusPublished - 28 Sep 2016
Event3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016 - New York, United States
Duration: 28 Sep 201630 Sep 2016

Other

Other3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016
CountryUnited States
CityNew York
Period28/9/1630/9/16

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Keywords

  • Collagen
  • Nanonetworks
  • Pathloss
  • Terahertz
  • Time domain spectroscopy

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Communication
  • Computer Networks and Communications

Cite this

Chopra, N., Upton, J., Philpott, M., Alomainy, A., Abbasi, Q. H., & Qaraqe, K. (2016). Characterization of volumetric change in collagen using THz time domain spectroscopy for in-body nanonetworks. In Proceedings of the 3rd ACM International Conference on Nanoscale Computing and Communication, ACM NANOCOM 2016 [a30] Association for Computing Machinery, Inc. https://doi.org/10.1145/2967446.2967471