TechnicalRemarks: ### Supplementary Research Data for the dissertation
"Comprehensive insights into the impedimetric characterization of dielectric thin films"
by Benedikt Sapotta
Important: The impedance spectra are disclosed as .DTA files which can be accessed with e.g. the text editor
Content
1 Estimation of IDE cell constant
2 Estimation of effective permittivity of coated IDE
3 Uncoated IDE data
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light and scanning electron micrographs of the uncoated IDE structures
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impedance spectra discussed in chapter 5.2 together with the data fit results using ECM 1
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impedance spectra and evaluation procedure discussed in chapter 5.3
- python scripts to compute the reference conductivities "Expected Conductivities.py" and reference permittivities "Expected Permittivities.py"
- data fit results to the aqueous KCl solutions copied into an excel file
- python script to compute the capacitance C_Par+C_Geo from the DRM impedance spectra "Capacitance_Calculator.py"
- python script to compute the relative permittivities of the DRMs from C_Par+C_Geo "Permittivity_Calculator.py"
- python script to compute the electrolytic condudctivity of the CRMs from the R_E best fit estimates "Conductivity_Calculator.py"
4 HKUST-1 coated IDE data
- data and evaluation procedures for the coated 5 µm electrode chip discussed in chapter 6.1
- impedance spectra collected with the
- DRMs: 1-butanol, ethanol and air to obtain C_Par and K_Cell of the electrode chip
- linker precursor solution as a function of the growth cycles (1-205)
- metal precursor solution as a function of the growth cycles (1-205)
- ECM 2 fit results to the metal and linker data copied into the excel file "ECM_2_BatchFit_Results.xlsx"
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an animated bode plot of the linker and metal impedance spectra
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python script for the monte carlo modelling to obtain the coating permittivities and thickness based on the impedance data "MC_modelling_growth_data.py"
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a simplified data flow chart as .png to facilitate the understanding of "MC_modelling_growth_data.py"
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an assortment of scanning electron micrographs depicting the coated IDE structures
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data and evaluation procedures for the coated 10 µm electrode chip discussed in chapter 6.2
- python script which was used for the automated uptake of impedance spectra during the HKUST-1 coating process "SURSENSOR.py"
- impedance data (FS= full impedance spectrum, SF= single frequency impedance data) collected with the
- DRMs: 1-butanol, ethanl and air to obtain C_Par and K_Cell
- linker precursor solution as a function of the growth cycle (1-200)
- spectra were recorded after the 300, 600 and 900 seconds after the initial exposure to the linker solution, only the 900 s data was evaluated
- single frequency impedance data was recorded during the initial 300 seconds of the linker solution exposure step at 100 kHz
- metal precursor solution as a function of the growth cycle (1-200)
- spectra were recorded after 200, 400 and 600 seconds after initial exposure to the metal solution, only the 600 s data was evaluated
- single frequency impedance data was recorded during the initial 200 seconds of the metal solution exposure step at 100 kHz
- testing solutions as a function of the growth cycle
- spectra were recorded after 180, 240 and 300 seconds after initial exposure to the respective testing solution, only the 300 s data was evaluated
- single frequency impedance data was recorded during the initial 180 seconds of each testing solution exposure step at 1 MHz
- ECM 2 fit results to the metal and linker data copied into the excel file "Growth_Data_BatchFit_Results.xlsx"
- ECM 1 fit results to the testing solution spectra recorded before the HKUST-1 coating process copied into the excel file "Cycle_0_DataFits.xlsx"
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ECM 2 fit results to the testing solution spectra recorded with the HKUST-1 coated electrode structure copied into the excel files "Cycle_50DataFits.xlsx", "Cycle_100_Data_Fits.xlsx", "Cycle 150 Data Fits.xlsx" and "Cycle_200DataFits.xlsx",
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python script for the monte carlo modelling to obtain the coating permittivities and conductivities during the exposure with the testing solutions "MC_modelling_testing_data.py" which is an extension of "MC_modelling_growth_data.py"
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a simplified data flow chart as .png to facilitate the understanding of "MC_modelling_testing_data.py"
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python scripts to compute the testing solution permittivities "Medium_RelativePermittvity_Calculator.py" and conductivities "Medium_Conductivity_Calculator.py"
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an assortment of scanning electron micrographs depicting the coated IDE structures
5 ZIF-8 coated IDE data
- impedance spectra collected with the
- uncoated 10 µm electrode chips and the DRMs: 1-butanol, ethanol and air to obtain C_Par and K_Cell
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ZIF-8 coated 10 µm electrode chip and the testing media: air, ethanol and 1 mM KCl dissolved in ethanol
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an assortment of scanning electron micrographs depicting the ZIF8-coating on the IDE structures as well as on the silicon and gold surfaces
