Thin-layer chromatography (TLC) is widely used particularly for pharmaceutical and food analysis. While there are a number of books on the qualitative identification of chemical substances by TLC, the unique focus here is on quantitative analysis. The authors describe all steps of the analytical procedure, beginning with the basics and equipment for quantitative TLC followed by sample pretreatment and sample application, development and staining, scanning, and finally statistical and chemometric data evaluation and validation. An important feature is the coverage of effect-directed biological detection methods. Chapters are organized in a modular fashion facilitating the easy location of information about individual procedural steps.

The only current practical survey of quantitative chemical analysis by thin-layer chromatography Modular organization of chapters More than 70 figures in full color Includes supplementary material: sn.pub/extras

Autorentext

Herr Prof. Dr. B. Spangenberg ist Chemiker und arbeitet an der Hochschule Offenburg als Dozent in der Umwelt- und Bioanalytik. Er ist Chefredakteur vom "Journal of Planar Chromatography - Modern TLC" und Veranstalter der Offenburger GDCh-Kurse "Moderne Dünnschichtchromatographie für Anwender". Frau Dr. Weins arbeitet als Biochemikerin seit 1989 auf dem Gebiet der wirkungsbezogenen Analytik, insbesondere deren Kopplung mit der Dünnschichtchromatographie. Sie ist Mitglied in den DIN-Ausschüssen für Hormonelle Wirkungen (Xenohormone) und Querschnittsthemen in der Ökotoxikologie.

Inhalt

History of Planar Chromatography.- The Theoretical Basis of Thin-Layer Chromatography (TLC).- The Stationary Phase in Thin Layer Chromatography (TLC).- The Mobile Phase in Adsorption and Partition Chromatography.- Preparing and Applying Samples.- Basis for TLC Development Techniques.- Specific Staining Reactions.- Bioeffective-linked Analysis in Modern HPTLC.- Planar Chromatography Detectors.- Diffuse Reflectance from TLC Layers.- Fluorescence in TLC Layers.- Chemometrics in HPTLC.- Reciprocal Model.- Statistics for Quantitative TLC.- Planning an Analysis and Validation in TLC.