Correlation Engine 2.0
Clear Search sequence regions


  • cold (6)
  • hydrogen (2)
  • intercellular junctions (6)
  • liver (1)
  • low (1)
  • oxygen (2)
  • plasma (6)
  • plasma gases (2)
  • rat (3)
  • Rinf (1)
  • species (2)
  • Sizes of these terms reflect their relevance to your search.

    The influence of pertinent parameters of a Cole-Cole model in the impedimetric assessment of cell-monolayers was investigated with respect to the significance of their individual contribution. The analysis enables conclusions on characteristics, such as intercellular junctions. Especially cold atmospheric plasma (CAP) has been proven to influence intercellular junctions which may become a key factor in CAP-related biological effects. Therefore, the response of rat liver epithelial cells (WB-F344) and their malignant counterpart (WB-ras) was studied by electrical impedance spectroscopy (EIS). Cell monolayers before and after CAP treatment were analyzed. An uncertainty quantification (UQ) of Cole parameters revealed the frequency cut-off point between low and high frequency resistances. A sensitivity analysis (SA) showed that the Cole parameters, R0 and α were the most sensitive, while Rinf and τ were the least sensitive. The temporal development of major Cole parameters indicates that CAP induced reversible changes in intercellular junctions, but not significant changes in membrane permeability. Sustained changes of τ suggested that long-lived ROS, such as H2O2, might play an important role. The proposed analysis confirms that an inherent advantage of EIS is the real time observation for CAP-induced changes on intercellular junctions, with a label-free and in situ method manner.

    Citation

    Jie Zhuang, Cheng Zhu, Rui Han, Anna Steuer, Juergen F Kolb, Fukun Shi. Uncertainty Quantification and Sensitivity Analysis for the Electrical Impedance Spectroscopy of Changes to Intercellular Junctions Induced by Cold Atmospheric Plasma. Molecules (Basel, Switzerland). 2022 Sep 09;27(18)

    Expand section icon Mesh Tags

    Expand section icon Substances


    PMID: 36144597

    View Full Text