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Related Experiment Video

Updated: Jan 14, 2026

Basic Research in Plasma Medicine - A Throughput Approach from Liquids to Cells
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Adaptive Cold Atmospheric Plasma: Demonstration with In Vitro Cancer Treatment Experiments.

Zichao Hou1, Li Lin1, Taeyoung Lee1

  • 1Department of Mechanical and Aerospace Engineering, The George Washington University, 800 22nd St. NW, Washington, District of Columbia 20052, United States.

ACS Omega
|October 20, 2025
PubMed
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This study introduces an adaptive cold atmospheric plasma (CAP) cancer treatment using real-time diagnostics. Electrochemical impedance spectroscopy predicts cancer cell viability for safer, more effective CAP therapy.

Area of Science:

  • Biophysics
  • Plasma Medicine
  • Cancer Therapy

Background:

  • Cold atmospheric plasma (CAP) jets offer selective cancer cell elimination.
  • CAP treatment effectiveness is sensitive to operational and environmental factors.
  • Cancer cell response to CAP can be variable.

Purpose of the Study:

  • To develop an adaptive CAP cancer treatment framework.
  • To integrate real-time electrochemical impedance spectroscopy (EIS) for in situ diagnostics.
  • To predict cancer cell viability during CAP treatment.

Main Methods:

  • Utilized canonical correlation analysis to link EIS measurements with CAP treatment effectiveness (cell viability).
  • Developed a framework for adaptive CAP delivery based on real-time EIS data.

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  • Evaluated the system using in vitro experiments under varying conditions.
  • Main Results:

    • Established a significant correlation between EIS measurements and cancer cell viability.
    • Demonstrated real-time prediction of cell viability using EIS data.
    • Showcased the adaptive framework's capability under nominal and perturbed conditions.

    Conclusions:

    • The proposed EIS-based in situ diagnostics enable real-time monitoring of CAP cancer treatment.
    • An adaptive framework can enhance the safety and reliability of CAP cancer therapy.
    • This approach holds promise for personalized and optimized cancer treatment strategies.