Quantification in LC and GC: A Practical Guide to Good Chromatographic Data [Englisch] [Gebundene Ausgabe]

"Quantification in LC and GC: A practical guide to good chromatographic data is a unique book that deals in depth with the integration programs running in modern data processors in chromatographic systems. It provides a systematic understanding of the data processing and evaluation that should be necessary in all laboratories working on quality control and data validation." (Analytical and Bioanalytical Chemistry, Jan - June 2010)

Closing a gap in the current literature by addressing the evaluation and quality assessment of raw data, this practice-oriented guide is clearly divided into three parts. The first describes basic considerations of chromatographic data quality, common errors and potential pitfalls in reading out and quantifying the data. Part two systematically covers the most important chromatographic methods as well as the specific requirements for obtaining good chromatographic data. The final part looks at data quality from the perspective of those regulatory authorities demanding certain standards in data quality, describing in detail best practices.
Written with the practitioner in mind, the text not only teaches the mathematical basics but also provides invaluable advice.

Closing a gap in the current literature by addressing the evaluation and quality assessment of raw data, this practice-oriented guide is clearly divided into three parts. The first describes basic considerations of chromatographic data quality, common errors and potential pitfalls in reading out and quantifying the data. Part two systematically covers the most important chromatographic methods as well as the specific requirements for obtaining good chromatographic data. The final part looks at data quality from the perspective of those regulatory authorities demanding certain standards in data quality, describing in detail best practices. Written with the practitioner in mind, the text not only teaches the mathematical basics but also provides invaluable advice.

Closing a gap in the current literature by addressing the evaluation and quality assessment of raw data, this practice-oriented guide is clearly divided into three parts. The first describes basic considerations of chromatographic data quality, common errors and potential pitfalls in reading out and quantifying the data. Part two systematically covers the most important chromatographic methods as well as the specific requirements for obtaining good chromatographic data. The final part looks at data quality from the perspective of those regulatory authorities demanding certain standards in data quality, describing in detail best practices.
Written with the practitioner in mind, the text not only teaches the mathematical basics but also provides invaluable advice.

Hans-Joachim Kuss is the head of biomedical analytics at the psychiatric hospital of the Ludwig Maximilian University in Munich. He has specialised on HPLC analysis of pharmaceuticals and regularly teaches courses for students and technicians on this topic.
 
Stavros Kromidas works as an independent consultant for analytical chemistry. For more than 20 years he has regularly held lectures and training courses on HPLC, and has authored numerous articles and several best-selling books on various aspects of chromatography.