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Challenges in Analytical Quality Assurance [electronic resource] /by Manfred Reichenbächer, Jürgen W. Einax.

by Reichenbächer, Manfred [author.]; Einax, Jürgen W [author.]; SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg : 2011.Description: XIX, 356p. 100 illus. online resource.ISBN: 9783642165955.Subject(s): Chemistry | Pharmaceutical technology | Analytical biochemistry | Food science | Chemistry | Analytical Chemistry | Environmental Monitoring/Analysis | Pharmaceutical Sciences/Technology | Food Science | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth SciencesDDC classification: 543 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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.

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