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  4. Evaluation Scripts and Data sets for __ Impedance Spectroscopy for Multi-State Analysis of Dissolvable Powders: Determining Layer Thickness and Moisture Content __
 
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Evaluation Scripts and Data sets for __ Impedance Spectroscopy for Multi-State Analysis of Dissolvable Powders: Determining Layer Thickness and Moisture Content __

Citation Link: https://doi.org/10.15480/882.16823
Type
Research Software
Date Issued
2026-03-05
Author(s)
Becker, Maximilian  
Mechatronik im Maschinenbau M-4  
Orth, Maike  orcid-logo
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Kähler, Dennis  
Mechatronik im Maschinenbau M-4  
Kumar, Anupam Hari  
Data Curator
Becker, Maximilian  
Mechatronik im Maschinenbau M-4  
Data Collector
Becker, Maximilian  
Mechatronik im Maschinenbau M-4  
Orth, Maike  orcid-logo
Feststoffverfahrenstechnik und Partikeltechnologie V-3  
Language
English
DOI
https://doi.org/10.15480/882.16823
TORE-URI
https://hdl.handle.net/11420/61886
Used equipment
Zurich Instruments MFIA 5 MHz Impedance Analyzer  
Abstract
This dataset originates from CRC1615 – Project A07 and comprises preliminary electrochemical impedance spectroscopy (EIS) measurements performed to investigate the potential of sodium benzoate-based coatings for detecting moisture content and layer thickness in fluidized bed environments. The data support a methodological study on the feasibility of in-situ EIS-based monitoring. This data set and processing files is part of a publication that is under review (05.03.2026). For more information, please refer to the accompanying README file in the ZIP folder.
Subjects
EIS
fluidized bed spray granulation
Electrical Impedance SPectroscopy
Sodium Benzoate
DDC Class
660.2: Chemical Engineering
Funding(s)
SFB 1615 - Teilprojekt A07: Hochintegrierte Sensoren für die Inline-Erfassung des Granulationsfortschrittes in Wirbelschichtreaktoren  
More Funding Information
This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB 1615 – 503850735.
License
https://mit-license.org/
No Thumbnail Available
Name

EIS_RawData_Analysis_Scripts_P_A07_PublicationData.zip

Size

155.08 MB

Format

ZIP

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