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Updated: Jun 17, 2026

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry (UPLC-HRMS)
Published on: May 20, 2013
Improving Molecular-Level Understanding of Atmospheric Oxygenated Organic Molecules Using Online High-Resolution
Xiao Liu1, Jiliang Guo1, Zeyu Feng2
1Tianjin Key Laboratory of Urban Transport Emission Research & State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
A new high-resolution mass spectrometer (NO3-Orbitrap) improves the identification of atmospheric oxygenated organic molecules (OOMs). This advancement helps resolve complex atmospheric chemistry and particle formation, crucial for understanding air quality.
Area of Science:
- Atmospheric Chemistry
- Aerosol Science
- Analytical Chemistry
Background:
- Atmospheric oxygenated organic molecules (OOMs) are critical for secondary organic aerosol (SOA) formation and new particle growth.
- Current mass spectrometry techniques lack the resolution for comprehensive molecular-level characterization of OOMs.
- Accurate identification of OOMs is essential for understanding atmospheric processes and air quality.
Purpose of the Study:
- To develop and evaluate a high-resolution nitrate chemical-ionization Orbitrap mass spectrometer (NO3-Orbitrap) for OOM analysis.
- To compare the performance of the NO3-Orbitrap with a conventional nitrate chemical-ionization time-of-flight mass spectrometer (NO3-TOF).
- To introduce a new framework for improving OOM identification in existing NO3-TOF datasets.
Main Methods:
- Development of a high-resolution NO3-Orbitrap MS.
- Parallel field and laboratory intercomparison between NO3-Orbitrap and NO3-TOF.
- Development of a modified spectral fitting framework (NO3-TOF_Modified) based on Orbitrap data.
Main Results:
- The NO3-Orbitrap successfully resolved complex OOMs with high mass accuracy (<0.01 Da).
- The NO3-Orbitrap identified significantly more OOM peaks than the NO3-TOF, revealing substantial misidentification in TOF data.
- The NO3-TOF_Modified framework reduced peak misidentification and increased agreement between instruments, though concentration differences persisted due to resolution and sensitivity limitations.
Conclusions:
- Ultrahigh-resolution mass spectrometry is essential for accurately characterizing the complexity of atmospheric OOMs.
- The developed NO3-TOF_Modified framework enhances OOM identification in both current and historical datasets.
- Further advancements are needed to fully resolve OOMs and their contribution to atmospheric processes.
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