Annotating Nontargeted LC-HRMS/MS Data with Two Complementary Tandem Mass Spectral Libraries.
Herbert OberacherVera ReinstadlerMarco KreidlMichael A StravsJuliane HollenderEmma L SchymanskiPublished in: Metabolites (2018)
Tandem mass spectral databases are indispensable for fast and reliable compound identification in nontargeted analysis with liquid chromatography⁻high resolution tandem mass spectrometry (LC-HRMS/MS), which is applied to a wide range of scientific fields. While many articles now review and compare spectral libraries, in this manuscript we investigate two high-quality and specialized collections from our respective institutes, recorded on different instruments (quadrupole time-of-flight or QqTOF vs. Orbitrap). The optimal range of collision energies for spectral comparison was evaluated using 233 overlapping compounds between the two libraries, revealing that spectra in the range of CE 20⁻50 eV on the QqTOF and 30⁻60 nominal collision energy units on the Orbitrap provided optimal matching results for these libraries. Applications to complex samples from the respective institutes revealed that the libraries, combined with a simple data mining approach to retrieve all spectra with precursor and fragment information, could confirm many validated target identifications and yield several new Level 2a (spectral match) identifications. While the results presented are not surprising in many ways, this article adds new results to the debate on the comparability of Orbitrap and QqTOF data and the application of spectral libraries to yield rapid and high-confidence tentative identifications in complex human and environmental samples.
Keyphrases
- liquid chromatography
- high resolution mass spectrometry
- mass spectrometry
- tandem mass spectrometry
- ultra high performance liquid chromatography
- optical coherence tomography
- simultaneous determination
- gas chromatography
- high resolution
- high performance liquid chromatography
- solid phase extraction
- dual energy
- big data
- density functional theory
- electronic health record
- magnetic resonance imaging
- artificial intelligence
- ms ms
- palliative care
- endothelial cells
- multiple sclerosis
- high speed
- machine learning
- computed tomography
- data analysis
- healthcare
- single cell