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Ion mobility-derived collision cross section database: Application to mycotoxin analysis.

Laura Righetti1, Andreas Bergmann2, Gianni Galaverna1

  • 1Department of Food Science, University of Parma, Viale delle Scienze 17/A, I-43124 Parma, Italy.

Analytica Chimica Acta
|March 11, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces the first traveling-wave ion mobility spectrometry (TWIMS)-derived database for mycotoxin collision cross section (CCS) values. This resource enhances food safety analysis by improving the accuracy and reliability of mycotoxin detection in complex samples.

Keywords:
CCS databaseCollision cross sectionIon mobility mass spectrometryMatrix effectMycotoxins

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Area of Science:

  • Analytical Chemistry
  • Food Science
  • Spectrometry

Background:

  • Hyphenation of ion mobility spectrometry (IMS) with high resolution mass spectrometry (HRMS) is a powerful screening technique.
  • IMS-HRMS applications in food safety, particularly for mycotoxin analysis, are underexplored.
  • Searchable databases with collision cross section (CCS) values are needed for routine IMS-HRMS mycotoxin workflows.

Purpose of the Study:

  • To develop the first traveling-wave IMS (TWIMS)-derived CCS database for mycotoxins.
  • To assess the reproducibility and inter-matrix precision of TWIMS-derived CCS measurements.
  • To demonstrate the utility of the CCS database in mycotoxin analysis of food samples.

Main Methods:

  • Development of a TWIMS-derived CCS database for over 100 mycotoxins.
  • Measurement of CCS values under varying instrumental conditions and across complex cereal matrices.
  • Application of the CCS database to spiked and naturally incurred cereal-based samples.

Main Results:

  • High reproducibility (RSD < 2%) of CCS measurements across instrumental conditions.
  • Excellent inter-matrix precision (RSD < 0.9%) in complex cereal matrices.
  • Successful proof-of-concept application of the CCS database for mycotoxin analysis.

Conclusions:

  • The developed TWIMS-derived CCS database is a valuable resource for mycotoxin analysis in food safety.
  • CCS values are reliable physicochemical identifiers, complementing traditional mass spectrometry data.
  • The study highlights the potential of IMS-HRMS for routine, accurate mycotoxin screening.