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.

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.