This text takes a problem-based approach to explaining analytical quality assurance. After dealing with the fundamentals, it covers a range of topics including statistical tests, linear regression and calibration, tool qualification and method validation.

Working in the lab, but unsure what your results actually mean? Would you like to know how to apply trueness tests, calculate standard deviations, estimate measurement uncertainties or test for linearity? This book offers you a problem-based approach to analytical quality assurance (AQA). After a short introduction into required fundamentals, various topics such as statistical tests, linear regression and calibration, tool qualification or method validation are presented in the form of exercises for self-study. Solutions are provided in a clear step-by-step manner. Interactive Excel-sheets are available as Extra Materials for trying out the various concepts.

For professionals as well as graduate students confronted with analytical quality assurance for the first time, this book will be the clue to meeting such challenges.

Problem-based learning of the principles of Analytical Quality Assurance Excel-sheets for interactive self-study available as Extra Materials From the authors of popular Analytical Challenges in the journal Analytical and Bioanalytical Chemistry Includes supplementary material: sn.pub/extras

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

Inhalt
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.