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Using Impedance Flow Cytometry for Rapid Viability Classification of Heat-Treated Bacteria
Christian Vinther Bertelsen1,2, Gustav Erik Skands2, Marcos González Díaz2
1DTU Bioengineering, Technical University of Denmark, Søltofts Plads 221, 2800 Kgs Lyngby, Denmark.
ACS Omega
|March 6, 2023
Summary
Electrical impedance flow cytometry rapidly distinguishes heat-treated bacteria. Lower medium conductivity and longer heat exposure improve classification accuracy for viable E. coli detection.
Area of Science:
- Microbiology
- Biophysics
- Electrical Engineering
Background:
- Impedance flow cytometry offers rapid cell characterization.
- Bacterial membrane changes due to heat affect electrical properties.
- Understanding these changes is crucial for viability assessment.
Purpose of the Study:
- To investigate how medium conductivity and heat exposure time influence the viability classification of heat-treated E. coli using impedance flow cytometry.
- To correlate theoretical models of membrane perforation with experimental impedance measurements.
- To determine optimal conditions for distinguishing between untreated and heat-treated E. coli.
Main Methods:
- Theoretical modeling of bacterial cell impedance changes post-heat treatment.
- Experimental impedance measurements on E. coli samples.
- Varying suspending medium conductivity and heat exposure durations.
- Analysis of the differential argument of complex electrical current.
Main Results:
- Heat exposure causes bacterial membrane perforation, altering cell impedance.
- This alteration shifts the differential argument of the complex electrical current.
- Increased heat exposure time and decreased medium conductivity enhance classification accuracy.
- Optimal classification was achieved at 0.045 S/m medium conductivity after 30 min heat exposure.
Conclusions:
- Impedance flow cytometry can effectively classify heat-treated E. coli viability.
- Medium conductivity and heat exposure time are critical parameters for accurate classification.
- The study provides a foundation for optimizing impedance flow cytometry for bacterial viability assessment.

