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Annotating Nontargeted LC-HRMS/MS Data with Two Complementary Tandem Mass Spectral Libraries.

Herbert Oberacher1, Vera Reinstadler2, Marco Kreidl3

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Summary
This summary is machine-generated.

This study compares tandem mass spectral libraries from QqTOF and Orbitrap instruments for compound identification. Optimal collision energies were determined, enabling reliable identification of compounds in complex samples.

Keywords:
compound identificationforensicsliquid chromatography mass spectrometrynontarget analysistandem mass spectral librarywastewater

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Area of Science:

  • Analytical Chemistry
  • Mass Spectrometry
  • Biochemistry

Background:

  • Tandem mass spectral databases are crucial for compound identification in nontargeted liquid chromatography-high resolution tandem mass spectrometry (LC-HRMS/MS).
  • Specialized spectral libraries from different instruments require careful evaluation for comparability and optimal use.

Purpose of the Study:

  • To investigate and compare two high-quality, specialized tandem mass spectral libraries generated on different mass spectrometry instruments (QqTOF and Orbitrap).
  • To determine the optimal collision energy (CE) ranges for spectral comparison between these libraries.
  • To assess the utility of these libraries for compound identification in complex human and environmental samples.

Main Methods:

  • Evaluation of spectral comparison using 233 overlapping compounds between QqTOF and Orbitrap libraries.
  • Determination of optimal collision energy ranges: 20–50 eV for QqTOF and 30–60 nominal units for Orbitrap.
  • Application of libraries with a data mining approach to complex samples for compound identification.

Main Results:

  • Optimal spectral matching was achieved within specific collision energy ranges for each instrument type.
  • The combined libraries, using a simple data mining approach, successfully confirmed known targets and identified new compounds (Level 2a).
  • The study provides data on the comparability of Orbitrap and QqTOF data for spectral library applications.

Conclusions:

  • Tandem mass spectral libraries are effective tools for rapid, high-confidence tentative compound identifications in complex matrices.
  • The findings contribute to the understanding of inter-instrument data comparability for LC-HRMS/MS spectral libraries.
  • Optimized collision energy settings enhance the reliability of compound identification using spectral databases.