Fundamentals and Applications of Multiway Data Analysis
Published on 19. January 2024
650 pages
978-0-443-13262-9 (ISBN)
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.
This book 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.
- Includes chapters written by renowned international authors, all currently active in the subject field
- Presents coverage of all the main aspects of multi-way analytical data analysis, concerning the two main areas of interest: data generation and algorithmic models for data processing
- Provides up-to-date material with reference to current literature on the subject
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Alejandro Olivieri | Graciela M. Escandar | Hector C. Goicoechea
Fundamentals and Applications of Multiway Data Analysis
Book
01/2024
Elsevier
€213.50
Shipment within 15-20 days
Content
1. Effects of Different Constraints on Range of Feasible solutions in Self-Modeling Curve Resolution Methods2. Custom-made optical platforms for high-throughput acquisition of high-order multilinear data in dynamic systems3. Multiway and Data Fussion Strategies in the Study of Natural Waters4. Replicate analysis for uncertainty estimation in PARAFAC and PARAFASCA analyses of factorial metabolomics data5. Fluorescence Developments for the Non-destructive Analysis of Forensic Fiber Evidence6. Multiset analysis for hyperspectral images: data fusion, industrial and (bio) analytical applications7. Multi-way Analysis of Electrochemical Data8. Fluorescence spectroscopy and second-order methods in monitoring aquatic environments9. Recent advances of multiway data modeling for classification issues10. An approach to multiway calibration using spectroscopic data modulated by a pH gradient in the analyses of complex matrices11. Multi-way analyses in biological interactions12. Recent applications of multiway data modeling for protein analysis by IR spectroscopy13. Hard modelling of multiway data14. Multi-way data analysis applied to excitation-emission fluorescence matrices acquired from semiconductor/carbon quantum dots sensing nanoplatforms15. Recent applications of third-order/four-way and fourth-order/five-way data analysis16. Recent advances in multi-way analytical figures of merit17. Suitability of multi-way methods to ensure food safety18. Multiway Data Analysis Applied to Miniaturized Spectroscopy19. Multi-way Analysis in Process Analytical Chemistry20. Recent Applications of Multi-Way Data Analysis for Multidimensional Gas Chromatography21. Multi-way data processing of hyphenated chromatographic data for the targeted and non-targeted analysis of environmental samples22. New application of Trilinear Decomposition Models. Part 123. New application of Trilinear Decomposition Models. Part 2
