The rapid development of HPLC instrumentation and technology opens numerous possibilities - and entails new questions. Which column should I choose to obtain best results, which gradient fits to my analytical problem, what are recent and promising trends in detection techniques, what is state of the art regarding LC-MS coupling? All these questions are answered by experts in ten self-contained chapters. Besides these more hardware-related and technical chapters, further related areas of interest are covered: Comparison of recent chromatographic data systems and integration strategies, smart documentation, efficient information search in internet, and tips for a successful FDA inspection. This practical approach offers in a condensed manner recent trends and hints, and will also display the advanced reader mistakes and errors he was not aware of so far.

Stavros Kromidas studied biology and chemistry at the University of Saarbrucken, where in 1983 he obtained his Ph.D. degree on the development of new chiral stationary phases for HPLC. After working for Waters GmbH for five years, he founded NOVIA GmbH, a provider of professional training and consulting in analytical chemistry, serving as the CEO until 2001. Since 2001 he works as an independent consultant for analytical chemistry, based in Saarbrucken (Germany). For more than 20 years he has regularly held lectures and training courses on HPLC, and has authored numerous articles and several books on various aspects of chromatography.

Survey of current LC/MS instruments
Pitfalls of LC/MS coupling
Ion chromatography as an application example for LC/MS
Separation of biomolecules by chromatographic techniques
Gradient optimization for RP-HPLC
Gradient prediction
Optimization strategies for RP-HPLC
Integration methods and strategies
HPLC software: performance, comparison, developments
Intelligent documentation of HPLC data for regulated studies
How to survive an FDA inspection
Mining the web for HPLC data
Selecting and comparing HPLC columns
HPLC hardware: recent trends