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Related Experiment Video

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Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments
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Interplatform comparison between three ion mobility techniques for human plasma lipid collision cross sections.

Anaïs C George1, Isabelle Schmitz1, Florent Rouvière2

  • 1Univ Rouen Normandie, INSA Rouen Normandie, CNRS, Normandie Univ, COBRA UMR 6014, INC3M FR 3038, F-76000, Rouen, France.

Analytica Chimica Acta
|April 18, 2024
PubMed
Summary
This summary is machine-generated.

Ion mobility spectrometry (IMS) enhances metabolomics by providing collision cross section (CCS) data. This study shows high comparability of CCS values across different IMS instruments for lipids, enabling reliable molecular description.

Keywords:
Collision cross sectionDrift tube ion mobility spectrometryInter-laboratory comparisonLipidomicsTrapped ion mobility spectrometryTravelling wave ion mobility spectrometry

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Area of Science:

  • Analytical Chemistry
  • Metabolomics
  • Spectrometry

Background:

  • Ion mobility spectrometry (IMS) coupled with liquid chromatography-high-resolution mass spectrometry (LC-HRMS) improves metabolomics compound annotation.
  • Collision cross section (CCS) is a valuable molecular descriptor, but standardized protocols for its determination are lacking.
  • Limited studies exist on interplatform agreement for CCS, especially for complex biological samples like plasma lipids.

Purpose of the Study:

  • To compare collision cross section (CCS) values for approximately 100 lipid species across three different ion mobility technologies (DTIMS, TWIMS, TIMS).
  • To evaluate instrument repeatability and interlaboratory reproducibility of CCS measurements.
  • To assess the potential of CCS as a reliable molecular descriptor for human plasma lipids.

Main Methods:

  • Comparison of CCS values for commercially available and human plasma-extracted lipids using drift tube IMS (DTIMS), travelling wave IMS (TWIMS), and trapped IMS (TIMS).
  • Evaluation of eleven CCS calibrants, including ESI Low concentration tuning mix (Tune Mix).
  • Analysis of data processing software impact on CCS discrepancies and assessment of interplatform correlation and reproducibility.

Main Results:

  • Average CCS discrepancies of 0.3% were observed, influenced by data processing software.
  • ESI Low concentration tuning mix (Tune Mix) showed the lowest relative standard deviation (< 0.5%) for CCS calibration across all instruments and ion modes.
  • Over 90% of lipid CCS values showed deviations less than 1% between techniques, with high correlation (R² > 0.995) and reproducibility (mean RSD ≤ 1%) when using Tune Mix calibration.

Conclusions:

  • High comparability and reproducibility of CCS determination for human plasma lipids are achievable across different IMS technologies.
  • Standardized procedures for calibration, data acquisition, and processing are crucial for interplatform reproducibility.
  • Harmonized analytical conditions are essential for reliable CCS determination and its use as a molecular descriptor in metabolomics.