Mehr lesen
An up-to-date reference that presents the most important information about each area of chemometrics used in chromatography, demonstrating its effective use when applied to a chromatographic separation.
Inhaltsverzeichnis
TABLE OF CONTENTS
Preface
- Method development and optimization
- Experimental design in chromatographic method development and validation (Łukasz Komsta, Yvan Vander Heyden)
- Chromatographic response functions (Regina M. B. O. Duarte, João T. V. Matos, Armando C. Duarte)
- Chemometric strategies to characterize stationary phases (Charlene Galea, Debby Mangelings, Yvan Vander Heyden)
- Chromatographic applications of genetic algorithms and other nature-inspired optimization methods (Mohammad Goodarzi, Yvan Vander Heyden)
- Univariate analysis
- Statistics and validation in quantitative chromatographic analysis (Eliangiringa Kaale, Danstan Shewiyo, David Jenkins)
- Statistical evaluation of calibration curves in chromatography (Sven Declerck, Johan Viaene, Ines Salsinha, Yvan Vander Heyden)
- Data preprocessing and unsupervised analysis
- Introduction to multivariate data treatment (Łukasz Komsta, Yvan Vander Heyden)
- Introduction to exploratory and clustering techniques (Ivana Stanimirova, Michał Daszykowski)
- Denoising of signals, signal enhancement and baseline correction in chromatographic science (Zhi-Min Zhang, Hong-Mei Lu, Yi-Zeng Liang)
- Alignment of one- and two-dimensional chromatographic signals (Michał Daszykowski)
- Peak purity and resolution of chromatographic data (Silvia Mas, Anna de Juan)
- Modeling of peak shape and asymmetry (Jose Ramon Torres, Juan Jose Baeza-Baeza, Maria Celia Garcia-Alvarez-Coque,)
- Missing and censored data in chromatography (Ivana Stanimirova)
- Classification, discrimination and calibration
- Linear supervised techniques (Łukasz Komsta, Yvan Vander Heyden)
- Discriminant analysis, and classification of chromatographic data (Alessandra Biancolillo, Federico Marini)
- Nonlinear supervised techniques (Geert Postma, Lionel Blanchet, Frederik-Jan van Schooten, Lutgarde Buydens)
- Retention modelling
- Introduction to quantitative structure-retention relationships (QSRRs) (Krzesimir Ciura, Piotr Kawczak, Joanna Nowakowska, Tomasz Bączek)
- Topological Indices in modelling chromatographic retention (Małgorzata Dołowy, Katarzyna Bober, Alina Pyka-Pająk)
- Application overviews
- Introduction to fingerprinting in chromatography (Johan Viaene and Yvan Vander Heyden)
- Chemometric strategies in analysis of chromatographic-mass spectrometry data (Samantha Riccadonna, Pietro Franceschi)
- Chemometric strategies
Über den Autor / die Autorin
?ukasz Komsta, Yvan Vander Heyden, Joseph Sherma
Zusammenfassung
An up-to-date reference that presents the most important information about each area of chemometrics used in chromatography, demonstrating its effective use when applied to a chromatographic separation.
