Thermal properties calculated from measured water content as a function of depth in porcine skin

Knox, Francis S.; Wachtel, Thomas L.; McCahan, G R; Knapp, Stanley C

doi:10.1016/0305-4179(86)90005-7

Cited by 9 publications

(3 citation statements)

References 16 publications

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“…Blue lines are measured from fresh samples with error bars indicating standard deviation, and red circles are modelled results though optimizing the LLL model. Our modelled permittivity shows good agreement with measured values and the optimal f dried skin is found to be 31%, which is consistent with that published in the literature (Knox et al 1986, Rylander et al 2011.…”

Section: Skinsupporting

confidence: 91%

Determination of terahertz permittivity of dehydrated biological samples

et al. 2017

Phys. Med. Biol.

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A key step in transforming terahertz imaging to a practical medical imaging modality lies in understanding the interactions between terahertz (THz) waves and biological tissues. Most of the models in the literature use the permittivity of liquid water to simulate the THz-tissue interactions, but they often neglect contributions from the biological background such as proteins and lipids because dehydrated biological samples are experimentally difficult to prepare. In this work, we present a method to prepare thin and flat dehydrated samples which can be easily handled and measured in a transmission setup. Our results will provide fundamental parameters for modelling THz-tissue interactions.

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Section: Skinsupporting

confidence: 91%

Determination of terahertz permittivity of dehydrated biological samples

et al. 2017

Phys. Med. Biol.

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“…Recently, the newly developed RadManTM [76] supplied a heat flux between 5 and 21 kW/m 2 . In these conditions, water diffusion, vaporization [77], temperature-dependent blood perfusion rate [42,78], and skin water content [79][80][81] will influence the thermal conductivity and volumetric heat capacity of the skin to some extent. Therefore, new burn prediction methods should be developed for lower-level and longer-duration exposure [82].…”

Section: New Prediction Methods For Lower-intensity and Longer-duratimentioning

confidence: 99%

Prediction methods of skin burn for performance evaluation of thermal protective clothing

Zhai

2015

Burns

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“…Burned skin was modeled using gelatin samples of different water content in order to create reproducible experimental conditions. The water content of vital epidermis is 70% [14,15]. Burn injuries cause an increase in capillary permeability with subsequent plasma leakage into the interstitial space, resulting in excessive edema formation in the remaining vital tissue [16].…”

Section: Irradiated Samplesmentioning

confidence: 99%