4.6 Article

Single Cell Microwave Biosensor for Monitoring Cellular Response to Electrochemotherapy

期刊

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
卷 69, 期 11, 页码 3407-3414

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2022.3170267

关键词

Microwave measurement; Spectroscopy; Cells (biology); Microwave theory and techniques; Biology; Dielectric measurement; Frequency measurement; Biosensor; electrochemotherapy; microwave dielectric spectroscopy; single Cell; THP-1 cells

资金

  1. Toulouse COMUE
  2. Region Midi-Pyrenees, France
  3. LAAS-CNRS micro and nano technologies platform, a member of the RENATECH French National Network

向作者/读者索取更多资源

This paper presents a 40 GHz microwave biosensor used to monitor and characterize single cells subjected to electrochemotherapy. The biosensor offers a non-destructive and label-free technique to extract dielectric parameters and detect the effects of chemical treatments. The results show a high correlation rate and demonstrate the reliability and efficacy of the technique for biology research and personalized medicine.
This paper presents a 40 GHz microwave biosensor used to monitor and characterize single cells (THP-1) subjected to electrochemotherapy and obtain an electronic signature of the treatment efficiency. This biosensor proposes a non-destructive and label-free technique that first allows, with the rapid measurement of single untreated cells in their culture medium, the extraction of two frequency-dependent dielectric parameters, the capacitance (C (f)) and the conductance (G (f)). Second, this technique can powerfully reveal the effects of a chemical membrane permeabilizing treatment (Saponin). At last, it permits us to detect, and predict, the potentiation of a molecule classically used in chemotherapy (Bleomycin) when combined with the application of electric pulses (principle of electrochemotherapy). Treatment-affected cells show a decrease in the capacitive and conductive contrasts, indicating damages at the cellular levels. Along with these results, classical biological tests are conducted. Statistical analysis points out a high correlation rate (R-2>0.97), which clearly reveals the reliability and efficacy of our technique and makes it an attractive technique for biology related researches and personalized medicine.

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