Challenges in Analytical Quality Assurance

Jürgen Einax and Manfred Reichenbächer, both University of Jena, are regular contributors to the Analytical Challenge column of the journal "Analytical and Bioanalytical Chemistry"

Kinds of errors at instrumental analysis.- Statistical tests.- General aspects of linear regression.- Validation of method performance.- Aspects of method development.- Performance verification of analytical instrumentals and tools - Selected examples.- Control charts in the analytical laboratory.- Interlaboratory studies.- Measurement uncertainty.- Statistic tables.

From the reviews:

"The subject of this book is analytical quality assurance ... . a large number of exercises together with detailed solutions are presented in each chapter of the book so that the reader can practically try out the concepts described ... . It is a good source of information on the quality requirements and analytical laboratory has to comply with today and it shows practical pathways for performing the corresponding calculations, which is supported further by the accompanying downloadable Excel sheets." (Karl Molt, Analytical and Bioanalytical Chemistry, August, 2012)

"The book covers all the main and important statistical tests needed for quality assurance evaluation ... . It can be really recommended for analysts who know the basics of statistical quality assurance and want to train, improve and use their competence to apply the methods. ... The reader will find well-designed examples to apply the tests not only for training but also for their own statistical problems. ... recommended as a very valuable acquisition for analysts who have to use statistical methods for quality assurance." (Sabine Geiß, Chromatographia, Vol. 75, 2012)