Multivariate Methods in Chromatography 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 objective of Multivariate Methods in Chromatography is to present a consise description and evaluation of the various multivariate mathematical-statistical methods applied for the assessment of retention data sets.

Contents

Fundamentals

• Multilinear and nonlinear regression analyses
• Stepwise regression analysis and partial least squares method
• Two and three-dimensional principal component analysis, various factor analytical techniques
• Canonical correlation analysis
• Discriminance analysis
• Spectral mapping
• Nonlinear mapping
• Cluster analysis
• Other multivariate techniques (fixed-size window movement, rank annihilation, etc)
• Measured and calculated physicochemical parameters of chromatographis systems and analytes

Gas Chromatography

• Theory and practice of gas chromatography
• Comparison of GC stationary phases using homogenous and non-homogenous set of analytes
• Elucidation of similarities and dissimilarities among samples

Liquid Chromatography (LC)

• Thin-layer chromatography (TLC)
• High performance liquid chromatography (HPLC)

Electrically Drived Systems

• Theory and practice of electrically drived systems
• Gel electrophoretic techniques
• Capillary zone electrophoresis (CZE)
• Micellar electrokinetic chromatography (MEKC) and related technologies

Index

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