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Characterizing Mediated Extracellular Electron Transfer in Lactic Acid Bacteria with a Three-Electrode, Two-Chamber Bioelectrochemical System
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A time-dependent model for improved biogalvanic tissue characterisation.

J H Chandler1, P R Culmer1, D G Jayne2

  • 1School of Mechanical Engineering, University of Leeds, Leeds, United Kingdom.

Medical Engineering & Physics
|August 24, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new time-dependent model for biogalvanic tissue characterization, improving the accuracy of distinguishing healthy from diseased tissues. The enhanced model accounts for transient variations, leading to more reliable electrical resistance measurements for surgical applications.

Keywords:
BiogalvanicElectrochemical transientsGalvanic cellSurgical sensingTime-dependent modelTissue resistanceTissue sensing

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Area of Science:

  • Biomedical Engineering
  • Electrical Impedance Tomography
  • Surgical Technology

Background:

  • Biogalvanic characterization measures passive electrical resistance to differentiate healthy from diseased tissues.
  • Current models are sensitive to load switching, causing instability and questioning technique efficacy.
  • Transient variations in measurement data are not addressed by existing electrical models.

Purpose of the Study:

  • To propose an improved biogalvanic characterization model incorporating a time-dependent element.
  • To account for transient behavior and associated losses in electrical measurements.
  • To enhance the accuracy and reliability of distinguishing between healthy and diseased tissues.

Main Methods:

  • Developed a new characterization model with a time-dependent element to address transient variations.
  • Examined the influence of switching rate on characterized tissue resistance.
  • Applied the proposed model to ex vivo human colon tissue samples (healthy and cancerous).

Main Results:

  • Inclusion of transient elements improved the repeatability of characterized tissue resistance.
  • The proposed model showed a statistically significant difference (p < 0.05) between healthy and cancerous colon tissues.
  • The current model yielded insignificant differences (p > 0.05) between tissue types.

Conclusions:

  • The proposed time-dependent model enhances biogalvanic tissue characterization accuracy.
  • Accounting for transient behavior is crucial for reliable electrical resistance measurements.
  • This improved technique shows potential for real-time surgical guidance.