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    Item type:Research Data, Access status: with files ,
    Evaluation Scripts and Data sets for __ Impedance Spectroscopy for Multi-State Analysis of Dissolvable Powders: Determining Layer Thickness and Moisture Content __
    (2026-06-18)
    Becker, Maximilian
    ;
    Orth, Maike
    ;
    Kähler, Dennis
    ;
    Kumar, Anupam Hari
    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.
    Data Type: Research Software
      14  18
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    Item type:Research Data, Access status: Restricted ,
    SMART EIS Sensor Interface – Cadence Virtuoso Design Files & MATLAB/Simulink Analysis Data
    (2026-03-19)
    Kumar, Anupam Hari
    This dataset supports the publication "Towards Smart Sensor Particles for Fluidized Bed Granulators Using Electrical Impedance Spectroscopy: A Conceptual Design" (submitted to ACS Sensors). It contains two categories of data: (1) Cadence Virtuoso design libraries for the SMARTe_V2 custom ASIC, implemented in X-FAB 180 nm CMOS technology (xh018), comprising a transimpedance amplifier, fully differential difference amplifier, passive switching mixer, and top-level pad frame integration; (2) MATLAB scripts and Simulink models for system-level analysis of the lock-in amplifier-based EIS front-end, including optimal component sizing, loop gain analysis, Bode characterization, and post-processing of experimental impedance measurements from the dataset cited hereby. The data is intended to support reproducibility and reuse of the presented EIS sensor interface design.
    Data Type: Simulation Data
      89  7