The functions reading TG and IR-data are designed to work with the output of distinct devices, namely the TGA/DSC 3+ thermobalance (Mettler Toledo) and Nicolet iS50 FTIR-spectrometer (Thermo Scientic). If the TG-data is structured similar to...

... you can add a row to TGA_import_profiles.xlsx. Make sure, that you just alter the order of column names but not the names itself. The 'sep' column is meant for the decimal separator. In the settings.ini under [coupling] you can now specify the default profile name.

If that does not work, the code has to be modified accordingly.

The files to be modified are located as follows:

• TGA_FTIR_tools
  • input_output
    • TGA.py
    • FTIR.py

TGA.py

read_TGA() has to be modified in such way, that it returns a Pandas DataFrame with following columns in the given order:

• 'time' in seconds
• 'sample_temp' in °C
• 'reference_temp' in °C
• 'sample_mass' in mg

Optional:

• 'heat_flow' in mW

TGA_info() can be modified in such way, that it returns a dictionary with more information on the TGA e.g. used method, date... This is not mandatory for proper functionality. Some features however may be compromised.

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FTIR.py

read_FTIR() has to be modified in such way, that it returns a Pandas DataFrame with following columns in the given order:

• 'time' in seconds
• 'gas' for each gas in lower case characters e.g. 'co', 'co2'.