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 language | English |
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Article number | 116251 |
Number of pages | 12 |
Journal | Trac-Trends in Analytical Chemistry |
Volume | 139 |
DOIs | |
Publication status | Published - 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