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Experimental Platform for Investigation of Low-Frequency Magnetic Field Effects on Cells

Hoang Vu Viet

Hoang Vu Viet

Institute of Measurement Science, Slovak Academy of SciencesBratislava, Slovakia
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Viet, Hoang Vu
, 
Lubomír Kremnický

Lubomír Kremnický

Institute of Chemistry, Slovak Academy of SciencesBratislava, Slovakia
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Kremnický, Lubomír
, 
Martin Bereta

Martin Bereta

Faculty of Health Sciences, Catholic University in RuzomberokSlovakia
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Bereta, Martin
 y 
Michal Teplan

Michal Teplan

Institute of Measurement Science, Slovak Academy of SciencesBratislava, Slovakia
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Teplan, Michal
  
07 jun 2025
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Categoría del artículo: Research Article
Publicado en línea: 07 jun 2025
Páginas: 83 - 92
Recibido: 18 feb 2025
Aceptado: 06 may 2025
DOI: https://doi.org/10.2478/msr-2025-0011
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© 2025 Hoang Vu Viet et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1.

The workflow diagram illustrates the experimental design, with the experimental platform serving as the central component.
The workflow diagram illustrates the experimental design, with the experimental platform serving as the central component.

Fig. 2.

Schematic diagram of the MF generation system, illustrating the signal generator, amplifier, rheostats, Helmholtz coils in two chambers, and an oscilloscope with ammeters.
Schematic diagram of the MF generation system, illustrating the signal generator, amplifier, rheostats, Helmholtz coils in two chambers, and an oscilloscope with ammeters.

Fig. 3.

(a) Modeling of the maximum magnetic flux density as a function of the number of coil turns and the wire diameter. (b) Details of the Helmholtz coils and the foil heating system on the chamber walls.
(a) Modeling of the maximum magnetic flux density as a function of the number of coil turns and the wire diameter. (b) Details of the Helmholtz coils and the foil heating system on the chamber walls.

Fig. 4.

(a) Thermal image of the cultivation chamber. (b) Temperature stability test in the chamber with the PID controller set to 35 °C. T1 – top of the cultivation chamber, T2 – water bath in the beaker, T3 – bottom of the cultivation chamber.
(a) Thermal image of the cultivation chamber. (b) Temperature stability test in the chamber with the PID controller set to 35 °C. T1 – top of the cultivation chamber, T2 – water bath in the beaker, T3 – bottom of the cultivation chamber.

Fig. 5.

Cell concentration ( ) after 20 hours of cultivation as a function of the initial inoculum dilution.
Cell concentration ( ) after 20 hours of cultivation as a function of the initial inoculum dilution.

Fig. 6.

(a) Growth curve showing the increase in cell concentration of Saccharomyces cerevisiae CCY 21-4-99 at 35 °C over time (error bars ±SD). (b) Simulation of MF impact by delaying growth by 2 hours (blue curve). The vertical line at 18th h indicates the moment of maximum difference between the two growth curves.
(a) Growth curve showing the increase in cell concentration of Saccharomyces cerevisiae CCY 21-4-99 at 35 °C over time (error bars ±SD). (b) Simulation of MF impact by delaying growth by 2 hours (blue curve). The vertical line at 18th h indicates the moment of maximum difference between the two growth curves.

Fig. 7.

Boxplots for cell concentration differences between cultivated cultures in two chambers.C/C: both chambers in control mode without MF (N = 5).T/T: both chambers in test mode with MF (N = 5).Combined: merged data from the two previous sets (N = 10).
Boxplots for cell concentration differences between cultivated cultures in two chambers.C/C: both chambers in control mode without MF (N = 5).T/T: both chambers in test mode with MF (N = 5).Combined: merged data from the two previous sets (N = 10).
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Ingeniería, Ingeniería eléctrica, Ingeniería de Control, metrología y ensayos
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