Quality Assurance and Quality Control in the Analytical Chemical Laboratory

Quality Assurance and Quality Control in the Analytical Chemical Laboratory

A Practical Approach, First Edition
Buch | Hardcover
232 Seiten
2009
Crc Press Inc (Verlag)
978-1-4200-8270-8 (ISBN)
159,95 inkl. MwSt
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Presents the theory behind quality control systems. This book describes such tools as validation parameter measurements, the use of statistical tests, counting the margin or error, and estimating uncertainty.
A Practical Tool for Learning New Methods


Quality assurance and measurement uncertainty in analytical laboratories has become increasingly important. To meet increased scrutiny and keep up with new methods, practitioners very often have to rely on self-study. A practical textbook for students and a self-study tool for analytical laboratory employees, Quality Assurance and Quality Control in the Analytical Chemical Laboratory: A Practical Approach defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment.


Unified Coverage of QA in Analytical Chemistry


Clearly written and logically organized, this book delineates the concepts of practical QA/QC, taking a generic approach that can be applied to any field of analysis. Using an approach grounded in hands-on experience, the book begins with the theory behind quality control systems and then moves on to discuss examples of tools such as validation parameter measurements, the use of statistical tests, counting the margin of error, and estimating uncertainty. The authors draw on their experience in uncertainty estimation, traceability, reference materials, statistics, proficiency tests, and method validation to provide practical guidance on each step of the process.





Extended Coverage of QC/QA in Analytical and Testing Laboratories


Presenting guidance on all aspects of QA and measurement results, the book covers QC/QA in a more complex and extended manner than other books on this topic. This range of coverage supplies an integrated view on measures like the use of reference materials and method validation. With worked-out examples and Excel spreadsheets that users can use to try the concepts themselves, the book provides not only know-what but know-how.

Gdansk University of Technology, Gdansk, Poland

Basic Notions of Statistics


Introduction


Distributions of Random Variables


Measures of Location


Measures of Dispersion


Measures of Asymmetry


Measures of Concentration


Statistical Hypothesis Testing


Statistical Tests


Control Charts


Linear Regression


Significant Digits: Rules of Rounding


References


Quality of Analytical Results


Definitions [1–3]


Introduction


Quality Assurance System


Conclusions


References


Traceability


Definitions [1]


Introduction


Role of Traceability in Quality Assurance/Quality Control System


Conclusion


References


Uncertainty


Definitions [1–3]


Introduction


Methods of Estimating Measurement Uncertainty


Tools Used for Uncertainty Estimation


Uncertainty and Confidence Interval


Calibration Uncertainty


Conclusion


References


Reference Materials


Definitions [1, 2]


Introduction


Parameters that Characterize RMs


Practical Application of CRM


Conclusion


References


Interlaboratory Comparisons


Definitions [1, 2]


Introduction


Classification of Interlaboratory Studies


Characteristics and Organization of Interlaboratory Comparisons


Presentation of Interlaboratory Comparison Results: Statistical Analysis in Interlaboratory Comparisons


Conclusions


References


Method Validation


Introduction


Characterization of Validation Parameters


Conclusions


ReferencesAppendix


Index

Erscheint lt. Verlag 27.2.2009
Reihe/Serie Analytical Chemistry
Zusatzinfo 65 Illustrations, black and white
Verlagsort Bosa Roca
Sprache englisch
Maße 156 x 235 mm
Gewicht 567 g
Themenwelt Naturwissenschaften Chemie Analytische Chemie
ISBN-10 1-4200-8270-1 / 1420082701
ISBN-13 978-1-4200-8270-8 / 9781420082708
Zustand Neuware
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