Abstract
The proliferation of increasingly more sophisticated analytical separation systems, often incorporating increasingly more powerful detection techniques, such as high-resolution mass spectrometry, causes an urgent need for highly efficient data-analysis and optimization strategies. This is especially true for comprehensive two-dimensional chromatography applied to the separation of very complex samples. In this contribution, the requirement for chemometric tools is explained and the latest developments in approaches for (pre-)processing and analyzing data arising from one- and two-dimensional chromatography systems are reviewed. The final part of this review focuses on the application of chemometrics for method development and optimization.
Original language | English |
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Pages (from-to) | 1678-1727 |
Number of pages | 51 |
Journal | Journal of Separation Science |
Volume | 43 |
Issue number | 9-10 |
Early online date | 25 Feb 2020 |
DOIs | |
Publication status | Published - May 2020 |
Bibliographical note
Special Issue: Emerging Thought Leaders in Separation Science.Funding
T.B., W.K., S.M., and L.N., acknowledge the UNMATCHED project, which is supported by BASF, DSM and Nouryon, and receives funding from the Netherlands Organization for Scientific Research (NWO) in the framework of the Innovation Fund for Chemistry and from the Ministry of Economic Affairs in the framework of the “PPS‐toeslagregeling”. B.P. acknowledges the Agilent UR grant #4354. This work was performed in the context of the Chemometrics and Advanced Separations Team (CAST) within the Centre for Analytical Sciences Amsterdam (CASA). The valuable contributions of the CAST members are gratefully acknowledged. T.B., W.K., S.M., and L.N., acknowledge the UNMATCHED project, which is supported by BASF, DSM and Nouryon, and receives funding from the Netherlands Organization for Scientific Research (NWO) in the framework of the Innovation Fund for Chemistry and from the Ministry of Economic Affairs in the framework of the “PPS-toeslagregeling”. B.P. acknowledges the Agilent UR grant #4354. This work was performed in the context of the Chemometrics and Advanced Separations Team (CAST) within the Centre for Analytical Sciences Amsterdam (CASA). The valuable contributions of the CAST members are gratefully acknowledged.
Funders | Funder number |
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Agilent UR | 4354 |
BASF | |
Diagnostic Services Manitoba | |
Ministerie van Economische Zaken | |
Nederlandse Organisatie voor Wetenschappelijk Onderzoek | |
China Academy of Space Technology |
Keywords
- 1D chromatography
- 2D chromatography
- chemometrics
- data processing
- optimization