4.7 Article

Critical evaluation of the role of external calibration strategies for IM-MS

Journal

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 414, Issue 25, Pages 7483-7493

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-022-04263-5

Keywords

Ion mobility-mass spectrometry; DFT; CCS; Stable isotope labelling; Steroids

Funding

  1. University of Natural Resources and Life Sciences Vienna (BOKU)
  2. Austria's Agency for Education and Internationalisation [FR 11/2020]
  3. Campus France, Amadeus program [44087WB]
  4. Austrian Science Fund (FWF) [M 2938]

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The integration of ion mobility (IM) into LC-MS methods for small molecules offers additional separation dimension and the use of IM-derived collision cross sections (CCS) as an additional identification parameter. However, outliers in experimental interplatform IM-MS comparisons pose a critical issue for the routine use of CCS databases for identity confirmation.
The major benefits of integrating ion mobility (IM) into LC-MS methods for small molecules are the additional separation dimension and especially the use of IM-derived collision cross sections (CCS) as an additional ion-specific identification parameter. Several large CCS databases are now available, but outliers in experimental interplatform IM-MS comparisons are identified as a critical issue for routine use of CCS databases for identity confirmation. We postulate that different routine external calibration strategies applied for traveling wave (TWIM-MS) in comparison to drift tube (DTIM-MS) and trapped ion mobility (TIM-MS) instruments is a critical factor affecting interplatform comparability. In this study, different external calibration approaches for IM-MS were experimentally evaluated for 87 steroids, for which (CCSN2)-C-TW, (CCSN2)-C-DT and (CCSN2)-C-TIM are available. New reference CCSN2 values for commercially available and class-specific calibrant sets were established using DTIM-MS and the benefit of using consolidated reference values on comparability of CCSN2 values assessed. Furthermore, use of a new internal correction strategy based on stable isotope labelled (SIL) internal standards was shown to have potential for reducing systematic error in routine methods. After reducing bias for CCSN2 between different platforms using new reference values (95% of (CCSN2)-C-TW values fell within 1.29% of (CCSN2)-C-DT and 1.12% of (CCSN2)-C-TIM values, respectively), remaining outliers could be confidently classified and further studied using DFT calculations and CCSN2 predictions. Despite large uncertainties for in silico CCSN2 predictions, discrepancies in observed CCSN2 values across different IM-MS platforms as well as non-uniform arrival time distributions could be partly rationalized.

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