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Measuring electrical conductivity using MRI

Publikationstyp
Conference Poster
Date Issued
2025-03-31
Sprache
English
Author(s)
Benders, Stefan  
Prozessbildgebung V-10  
Kaya, Tarik  
Penn, Alexander  orcid-logo
Prozessbildgebung V-10  
TORE-URI
https://hdl.handle.net/11420/60753
Citation
Quantitative NMR Methods for Reaction and Process Monitoring, NMRPM 2025
Contribution to Conference
Quantitative NMR Methods for Reaction and Process Monitoring, NMRPM 2025  
Publisher Link
https://nmrpm.mv.rptu.de/fileadmin/user_upload/Accepted_Posters_NMRPM_2025.pdf
Magnetic Resonance Imaging (MRI) is a powerful technique in the field of chemical engineering. Properties such as spin density, velocity, diffusion, chemical shift or temperature can be measured using MRI, providing insights into complex systems. Expanding the measurement capabilities to include additional properties can further increase the understanding of such systems. One such property is the electrical conductivity, which is already measured in medical applications [1]. Conductivity plays a major role in many (electrochemical) processes and can also be used to deduce other quantities. For instance, conductivity has a proportional relationship with temperature, which can be used to determine absolute temperature values in complex chemical engineering reactors through conductivity measurements. To measure conductivity using MRI, a steady-state free precession three-dimensional scan is performed, with the numerical second derivative of the B1 phase yielding the value [1].
Initial phantom measurements using a unique vertical MRI scanner are presented along with the complex numerical reconstruction of the conductivity. The concept is then extended to a temperature measurement, with the goal of applying these measurements to real chemical reaction systems.


References:
[1] Katscher et al., NMR in Biomedicine 30 (2017) e3729.
DDC Class
600: Technology
Funding(s)
Beschaffung eines Großgerätes: Magnetresonanztomograph  
SFB 1615 - SMARTe Reaktoren für die Verfahrenstechnik der Zukunft  
Funding Organisations
Deutsche Forschungsgemeinschaft (DFG)  
TUHH
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