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.
Highlights
In recent years, due to unique properties of terahertz (THz) emission, a number of various techniques utilizing THz radiation have been used extensively in a variety of applications
As THz radiation is characterized by the strong water absorption [12], this frequency range can be used as a sensitive and precise non-invasive hydration probe, in particular, to monitor biotissue dehydration [13,14]
This study demonstrates application of the reflection geometry of the THz Time-Domain Spectroscopy (THz TDS) system for the water content monitoring
Summary
Due to unique properties of terahertz (THz) emission, a number of various techniques utilizing THz radiation have been used extensively in a variety of applications. It has been demonstrated that the THz bandwidth is able to provide the record capacity for the wireless data transmission [4,5], which is one of the most promising applications of this frequency range. Both pulsed and continuous THz waves are being applied for the non-invasive testing of artworks [6,7] or estimating the quality of multi-layered automotive paints [8]. The development of a new tool for highly accurate non-invasive assessment the of water content within the biological tissues would help enormously in such areas as cancer diagnosis [15,16,17,18,19], food and other products quality control [8,20] or plants’ stress responses monitoring [21,22,23]
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