Tibor Cserhati

Multivariate Methods in Chromatography

A Practical Guide

• Gebundenes Buch

Produktbeschreibung

Chromatography is a recognized analytical process for the separation of components within mixtures and is regularly used coupled to mass spectrometry for component identification. All analytical techniques generate large amounts of data that can be numerically processed using multivariate techniques. Multivariate analysis, which includes a large number of detailed data processing methods, when applied to chromatography allows users to find the relationship between the molecular structures within a compound and the different systems used in the analysis.

Multivariate Methods in Chromatography: A Practical Guide is intended to show how to use chemometrics for the solution of problems hardly soluble otherwise without the exact knowledge of the underlying, sometimes complicated, mathematical apparatus. The objectives of this book are to present a concise description and evaluation of the various multivariate mathematical-statistical methods applied for the assessment of retention data sets.

The opening chapter presents a discussion of the various multivariate methods available in the 'toolkit' of a chromatographer. The subsequent chapters present a broad range of the use of these methods in GC, LC and electrically-driven chromatography, with an emphasis on their application to pharmaceuticals, food, the environment, biological compounds and medicine.

This essential text is aimed at analysts working in processing plants and quality control environments using chromatographic analysis for any types of solutes, as well as experts in research institutes and those teaching separation science, technology and analytical chemistry. It is relevant to those utilising chromatography in bioinformatics, life sciences and drug discovery as well as chemical engineering, pharmacology, biology, medicine and forensic science. In addition the book will be of interest to students and postgraduate students working in separation science.

MultivariateMethods in Chromatography: A Practical Gide has been written by a practising chromatographer for practitioners, and is intended as a bridge between everyday chromatographic practice and theoretical mathematics.

Produktdetails

• Verlag: Wiley & Sons
• 1. Auflage
• Seitenzahl: 352
• Erscheinungstermin: 1. September 2008
• Englisch
• Abmessung: 249mm x 173mm x 25mm
• Gewicht: 785g
• ISBN-13: 9780470058206
• ISBN-10: 047005820X
• Artikelnr.: 23877837

Autorenporträt

Professor Tibor Cserhati, Chemical Research Centre, Research Institute of Materials and Environmental Chemistry, Hungarian Academy of Sciences, Budapest, HungaryGraduated in Chemical Engineering in 1962 and received his PhD in 1973 from the Technical University of Budapest. From 1975 - 1988 he was a senior research scientists at the Plant Protection Institute of the Hungarian Academy of Sciences and from 1989 scientific counsellor at the Central Research Institute for Chemistry. He is the author/coauthor of more than 500 papers and 5 books. His main fields of interest are various chromatographic methods including TLC, GC and HPLC and the application of multivariate methods for the evaluation of chromatographic data.

Inhaltsangabe

Preface. Introduction. List of Abbreviations, Acronyms and Symbols. Chapter
1. Fundamentals. 1.1. Multilinear and nonlinear regression analyses. 1.2.
Stepwise regression analysis and partial least squares method. 1.3. Two and
three-dimensional principal component analysis, various factor analytical
techniques. 1.4. Canonical correlation analysis. 1.5. Discriminance
analysis. 1.6. Spectral mapping. 1.7 Nonlinear mapping. 1.8. Cluster
analysis. 1.9. Other multivariate techniques (fixed-size window movement,
rank annihilation, etc). 1.10. Measured and calculated physicochemical
parameters of chromatographis systems and analytes. Chapter 2. Gas
Chromatography (GC). 2.1. Theory and practice of gas chromatography. 2.2.
Comparison of GC stationary phases using homogenous and non-homogenous set
of analytes. 2.3. Elucidation of similarities and dissimilarities among
samples. 2.3.1. Human health and pharmaceuticals. 2.3.2. Forensic analyses.
2.3.3. Biology and agrobiology. 2.3.4. Food and food products. 2.3.4.1.
Wines. 2.3.4.2. Oils. 2.3.4.3. Foods of plant origin. 2.3.4.4.
Miscellaneous food products. 2.3.5. Environmental analyses. 2.3.5.1.
Volatile organic compounds (VOC), polycyclic aromatic hydrocarbons (PAH),
and polychlorinated biphenyls (PCB). 2.3.5.2. Miscellaneous environmental
pollutants. 2.3.5.3. Gasoline. 2.3.6. Other synthetic compounds. 2.3.7.
Miscellaneous applications. Chapter 3. Liquid Chromatography (LC). 3.1.
Thin-layer chromatography (TLC). 3.1.1. Theory and practice of thin-layer
chromatography. 3.1.2. Multidimensional classification of TLC stationary
and/or mobile phases. 3.1.3. Relationships between molecular parameters and
TLC retention of analytes. 3.1.3.1. Pharmaceuticals and natural organic
compounds. 3.1.3.2. Fatty acids and bile acids. 3.1.3.3. Pesticides and
pesticide adjuvants. 3.1.4. Relationship between TLC retention parameters
and biological activity of analytes.. 3.1.5. Miscellaneous applications.
3.2. High performance liquid chromatography (HPLC). 3.2.1. Theory and
practice of HPLC. 3.2.2. Multidivariate classification of HPLC stationary
and/or mobile phases. 3.2.2.1. Classification of stationary or mobile
phases. 3.2.2.1.1. Principal component analysis (PCA). 3.2.2.1.2. Other
multivariate techniques. 3.2.2.4. Classification of chromatographic
systems. 3.2.2.4.1. Multilinear and multi nonlinear regression analyses
(MLR and MNLR). 3.2.2.4.2. Principal component analysis (PCA), cluster
analysis (CA) and other multivariate techniques. 3.2.3. Differentiation
between homologous and non-homologoues sets of analytes. 3.2.3.1. Human
health. 3.2.3.2. Biological applications. 3.2.3.3. Agrobiochemistry.
3.2.3.4. Microbiology. 3.2.3.5. Natural (herbal) medicines. 3.2.3.6.
Synthetic pharmaceuticals. 3.2.3.7. Wines. 3.2.3.8. Cheeses. 3.2.3.9.
Miscellaneous foods and food products. 3.2.3.10. Polycyclic aromatic
hydrocarbons. 3.2.3.11. Pesticides and homologous series of pollutants.
3.2.3.12. Non homologous series of pollutants. 3.2.3.13. Other
environmental pollutants. 3.2.3.14. Miscellaneous HPLC applications.
Chapter 4. Electrically Driven Systems. 4.1. Theory and practice of
electrically driven systems. 4.2. Gel electrophoretic techniques. 4.2.1.
Theory and human health aspects. 4.2.2. Microorganisms. 4.2.3. Microbial
communities. 4.2.4. Plant tissues. 4.3. Capillary zone electrophoresis
(CZE). 4.3.1. New advances in CZE theory. 4.3.2. Human health and
pharmacology. 4.3.3. Other applications. 4.4. Micellar electrokinetic
chromatography (MEKC) and related technologies. Index.