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A general procedure for rounding m/z values in low-resolution mass spectra
Mikhail Khrisanfov1, Andrey Samokhin1
1Chemistry Department, Lomonosov Moscow State University, Moscow, Russia.
Rapid Communications in Mass Spectrometry : RCM
|March 10, 2022
Summary
Different gas chromatography/mass spectrometry software produces non-identical mass spectra due to rounding errors. A new method sums intensities within a specific m/z range to improve nominal mass spectra robustness.
Area of Science:
- Analytical Chemistry
- Spectrometry
Background:
- Nominal mass spectra derived from the same NetCDF file vary across different gas chromatography/mass spectrometry (GC/MS) software.
- Discrepancies arise from distinct algorithms employed for rounding floating-point m/z values to integers.
Purpose of the Study:
- To investigate the distribution of fractional parts of accurate m/z values.
- To identify algorithms yielding more robust results for nominal mass spectra generation.
- To propose a procedure minimizing rounding errors in m/z values.
Main Methods:
- Analysis of nominal mass spectra generated by multiple GC/MS software packages (AMDIS, ChemStation, ChromaTOF, MS Search, OpenChrom).
- Estimation of fractional m/z value distribution using PubChem and NIST databases.
- Development and validation of a novel rounding procedure.
Main Results:
- Identified significant variations in nominal mass spectra due to differing m/z rounding algorithms.
- Determined the distribution of fractional parts of accurate m/z values.
- Proposed a binning method summing intensities in the range [MZ-0.38; MZ+0.62] to improve nominal m/z value accuracy.
Conclusions:
- The choice of GC/MS software significantly impacts nominal mass spectra quality due to rounding variations.
- The proposed method of summing intensities within a defined m/z bin enhances the robustness of nominal mass spectra.
- This approach mitigates random errors associated with integer m/z value conversion.
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