Advanced chemometric and data handling tools for GC×GC-TOF-MS: Application of chemometrics and related advanced data handling in chemical separations

P.H. Stefanuto*, A. Smolinska, J.F. Focant

*Corresponding author for this work

Research output: Contribution to journal(Systematic) Review article peer-review

Abstract

Comprehensive two-dimensional gas chromatography coupled to mass spectrometry (GCxGC-MS) has become a mature technique. GCxGC-MS can now be used to conduct large scale studies, giving full access to its high-resolution power for targeted and mostly untargeted screening. The current challenges are now localized on the data management side, where powerful chemometric tools are required to unlock GCxGC-MS full potential.& nbsp; This manuscript reviews and discusses recent advances in the development of specific chemometrics for GCxGC-MS. It is designed as a guide to users who desire to establish robust and reproducible GCxGCMS data processing workflows. Each of the critical steps of data preprocessing, feature selection, model building, and validation are described and considered in detail. Finally, some future perspectives on the development of the next generation of chemometric tools based on Artificial Intelligence, especially machine learning, are critically discussed.& nbsp; (c) 2021 Elsevier B.V. All rights reserved.
Original languageEnglish
Article number116251
Number of pages12
JournalTrac-Trends in Analytical Chemistry
Volume139
DOIs
Publication statusPublished - 1 Jun 2021

Keywords

  • Comprehensive two-dimensional gas chromatography
  • GCxGC-MS
  • Chemometrics
  • Data handling
  • Processing
  • Multidimensional data
  • 2-DIMENSIONAL GAS-CHROMATOGRAPHY
  • FLIGHT MASS-SPECTROMETRY
  • VOLATILE ORGANIC-COMPOUNDS
  • X GC-TOFMS
  • FISHER RATIO
  • CLASSIFICATION
  • METABOLOMICS
  • PREDICTION
  • ALIGNMENT
  • DILUTION

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