Fundamentals and Applications of Multiway Data Analysis

Auteur
Alejandro C. Olivieri was born in Rosario, Argentina, on July 28, 1958. He is a member of the Institute of Chemistry of Rosario, and professor of the Department of Analytical Chemistry of the National University of Rosario. Degree in Industrial Chemistry (Catholic Faculty of Chemistry and Engineering, 1982), Doctor (Faculty of Biochemical and Pharmaceutical Sciences, University of Rosario, 1986), fellow of the National Council for Scientific and Technical Research (CONICET). About 250 publications, books and book chapters. John Simon Guggenheim Memorial Foundation Fellow (2001-2002). Konex Platinum Award (Konex Foundation, Argentina, 2013) for his contributions to analytical chemistry. Current interest: chemometrics in analytical chemistry. Graciela M. Escandar was born in Rosario city, Argentina. She obtained her B.Sc. in Biochemistry in 1983 and her Ph.D. in 1992, both from the Faculty of Biochemical and Pharmaceutical Sciences, University of Rosario, where she was full professor in the Department of Analytical Chemistry, and fellow of the National Research Council of Argentina (CONICET). She has published about 130 scientific papers in well-known international journals, reviews, books and book chapters, and supervised seven Ph.D. Theses. Her research focuses on the development of new green methodologies based on molecular luminescence in organized media and solid-phase for the determination of analytes of environmental and pharmaceutical interest.Héctor C. Goicoechea was born in Santa Fe, Argentina, on May 15, 1961. He received his Ph.D. (2000) from the National University of Rosario. After a postdoctoral research at North Dakota State University, USA, he joined the University of Litoral, Santa Fe (2004), where he is full professor of Analytical Chemistry/Chemometrics. He is fellow of the National Research Council of Argentina (CONICET), and has founded a research group (LADAQ). He published more than 220 papers in well-known international journals, and has supervised twelve Ph.D. Theses. His research interest focuses on the development of new analytical methodologies based on multi-way data generation (chromatography, fluorescence spectroscopy and electrochemistry) coupled to calibration and classification/discrimination for solving environmental, biomedical, food and forensic problems.Graduated in the Faculty of Sciences of the University of Extremadura and title of Ph D in Chemistry (1981). Teaching and research activities in the Department of Analytical Chemistry of the University of Extremadura as Full Professor from 1993.He performed post-doctoral research stages in other Universities: University of Florida, Gainesville, USA (Fullbright Fellow), Loughborough University, Loughborough (UK), Emory University, Atlanta (USA), University of Paris VII, Paris (Francia), Louisiana State University, Baton Rouge (USA) and University of Central Florida, Orlando (USA). He maintains a continuous scientific collaboration with different Argentinean Universities, being granted by the International Cooperation Prize in Science, Technology and Innovation Dr. Luis Federico Leloir”, by the Argentinean Government in 2012.His research activity, with more than 200 scientific publications, is centered in the analytical applications of molecular luminescence, combined with multi-way chemometric methods, for the determination of analytes of interest in the environmental, bioanalytic and food fields.

Texte du rabat
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.

Contenu

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