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Full Description
Fundamentals and Applications of Multiway Data Analysis provides comprehensive coverage of the main aspects of multiway analysis, including selected applications that can resolve complex analytical chemistry problems. This book follows on from Fundamentals and Analytical Applications of Multiway Calibration, (2015) by addressing new theoretical analysis and applications on subjects beyond multiway calibration and devoted to the analysis of multiway data for other purposes. Specifically, this new volume presents researchers a set of effective tools they can use to obtain the maximum information from instrumental data.
This book includes the most advanced techniques, methods, and algorithms related to multiway modelling for solving calibration and classification tasks and the way they can be applied. It collects contributions from a selected number of well-known and active chemometric research groups across the world, each covering one or more subjects where their expertise is recognized and appreciated.
Contents
1. Effects of Different Constraints on Range of Feasible solutions in Self-Modeling Curve Resolution Methods
2. Custom-made optical platforms for high-throughput acquisition of high-order multilinear data in dynamic systems
3. Multiway and Data Fussion Strategies in the Study of Natural Waters
4. Replicate analysis for uncertainty estimation in PARAFAC and PARAFASCA analyses of factorial metabolomics data
5. Fluorescence Developments for the Non-destructive Analysis of Forensic Fiber Evidence
6. Multiset analysis for hyperspectral images: data fusion, industrial and (bio) analytical applications
7. Multi-way Analysis of Electrochemical Data
8. Fluorescence spectroscopy and second-order methods in monitoring aquatic environments
9. Recent advances of multiway data modeling for classification issues
10. An approach to multiway calibration using spectroscopic data modulated by a pH gradient in the analyses of complex matrices
11. Multi-way analyses in biological interactions
12. Recent applications of multiway data modeling for protein analysis by IR spectroscopy
13. Hard modelling of multiway data
14. Multi-way data analysis applied to excitation-emission fluorescence matrices acquired from semiconductor/carbon quantum dots sensing nanoplatforms
15. Recent applications of third-order/four-way and fourth-order/five-way data analysis
16. Recent advances in multi-way analytical figures of merit
17. Suitability of multi-way methods to ensure food safety
18. Multiway Data Analysis Applied to Miniaturized Spectroscopy
19. Multi-way Analysis in Process Analytical Chemistry
20. Recent Applications of Multi-Way Data Analysis for Multidimensional Gas Chromatography
21. Multi-way data processing of hyphenated chromatographic data for the targeted and non-targeted analysis of environmental samples
22. New application of Trilinear Decomposition Models. Part 1
23. New application of Trilinear Decomposition Models. Part 2
