Challenges in Analytical Quality Assurance

ISBN-13: 9783642165948 / Angielski / Twarda / 2011 / 356 str.

Manfred Reichenbächer;Jurgen W. Einax

Opis

Working in the lab, but unsure what your results actually mean? Would you like to know how to applytrueness 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.

Recenzje

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)

Spis treści

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.

O autorze

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