Assessing the Quantitative Impact of IMS Filtering

2024-03-29

Here we present a data set used to assess the quantitative impact of filtering by drift time during chromatogram extraction from data files collected on an IMS enabled Agilent 6560 mass spectrometer. The five Skyline documents represent:

  1. The final processing with IMS filtering applied and all peak integration manually adjusted.
  2. The final processing without IMS filtering applied and all peak integration manually adjusted.
  3. Processing with IMS filtering applied but without any manual adjustment to peak integration.
  4. Processing without IMS filtering applied and without any manual adjustment to peak integration.
  5. The original template document before any data is imported into it and before drift time filter training.

Each of the first four documents contain imported results. However, only the first two were used to assess the dynamic range and linearity of a calibration curve in the 4 cases we explored:

  1. Peak areas from chromatograms extracted from MS1 with drift time filtering.
  2. Peak areas from chromatograms extracted from MS/MS with drift time filtering.
  3. Peak areas from chromatograms extracted from MS1 without drift time filtering.
  4. Peak areas from chromatograms extracted from MS/MS without drift time filtering.

The associated report files (in Excel CSV format) are attached below and were produced by exporting the "Precursor MS1 Areas" and "Precursor Fragment Areas" reports respectively from the two final processed documents.

The Skyline documents are data files used in developing this method can be found in the Method Dev folder.