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Quality Assurance and Quality Control in the Analytical Chemical Laboratory A Practical Approach Analytical Chemistry 1st Edition by Piotr Konieczka, Jacek Namiesnik ISBN

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Quality Assurance and Quality Control in the Analytical Chemical Laboratory A Practical Approach Analytical Chemistry Piotr Konieczka Digital Instant Download

Author(s): Piotr Konieczka, Jacek Namiesnik
ISBN(s): 9781420082708, 1420082701
Edition: Har/Cdr
File Details: PDF, 3.73 MB
Year: 2009
Language: english
SKU: EB-1806724 Category: Tags: ,

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Author: Piotr Konieczka, Jacek Namiesnik

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.

Quality Assurance and Quality Control in the Analytical Chemical Laboratory A Practical Approach Analytical Chemistry 1st Table of contents:

Chapter 1 Basic Notions of Statistics
1.1 Introduction
1.2 Distributions of Random Variables
1.2.1 Characterization of Distributions
1.3 Measures of Location
1.4 Measures of Dispersion
1.5 Measures of Asymmetry
1.6 Measures of Concentration
1.7 Statistical Hypothesis Testing
1.8 Statistical Tests
1.8.1 Confidence Interval Method
1.8.2 Critical Range Method
1.8.3 Dixon’s Q Test
1.8.4 Chi Square Test
1.8.5 Snedecor’s F Test
1.8.6 Hartley’s F max Test
1.8.7 Bartlett’s Test
1.8.8 Morgan’s Test
1.8.9 Student’s t Test
1.8.10 Cochran–Cox C Test
1.8.11 Aspin–Welch Test
1.8.12 Cochran’s Test
1.8.13 Grubbs’ Test
1.8.14 Hampel’s Test
1.8.15 Z-Score
1.8.16 E n Score
1.8.17 Mandel’s h Test
1.8.18 Kolmogorov–Smirnov Test
1.9 Linear Regression
1.10 Significant Digits: Rules of Rounding
References
Chapter 2 Quality of Analytical Results
2.1 Definitions
2.2 Introduction
2.3 Quality Assurance System
2.4 Conclusion
References
Chapter 3 Internal Quality Control
3.1 Definition
3.2 Introduction
3.3 Quality Control in the Laboratory
3.4 Control Charts
3.4.1 Shewhart Charts
3.4.2 Shewhart Chart Preparation
3.4.3 Shewhart Chart Analysis
3.4.4 Types of Control Charts
3.4.5 Control Samples
3.5 Conclusion
References
Chapter 4 Traceability
4.1 Definitions
4.2 Introduction
4.3 The Role of Traceability in Quality Assurance/Quality Control Systems
4.4 Conclusion
References
Chapter 5 Uncertainty
5.1 Definitions
5.2 Introduction
5.3 Methods of Estimating Measurement Uncertainty
5.3.1 Procedure for Estimating the Measurement Uncertainty According to the Guide to the Expression of Uncertainty in Measurement
5.4 Tools Used for Uncertainty Estimation
5.5 Uncertainty and Confidence Interval
5.6 Calibration Uncertainty
5.7 Conclusion
References
Chapter 6 Reference Materials
6.1 Definitions
6.2 Introduction
6.3 Parameters that Characterize RMs
6.3.1 General Information
6.3.2 Representativeness
6.3.3 Homogeneity
6.3.4 Stability
6.3.5 Certified Value
6.4 Practical application of CRMs
6.5 Conclusion
References
Chapter 7 Interlaboratory Comparisons
7.1 Definitions
7.2 Introduction
7.3 Classification of Interlaboratory Studies
7.4 Characteristics and Organization of Interlaboratory Comparisons
7.5 The Presentation of Interlaboratory Comparison Results: Statistical Analysis in Interlaboratory Comparisons
7.5.1 Comparisons of Results Obtained Using Various Procedures
7.5.2 Comparison of the Measurement Results Obtained in a Two-Level Study (for Two Samples with Various Analyte Concentrations)
7.6 Conclusion
References
Chapter 8 Method Validation
8.1 Introduction
8.2 Characterization of Validation Parameters
8.2.1 Selectivity
8.2.2 Linearity and Calibration
8.2.3 Limit of Detection and Limit of Quantitation
8.2.3.1 Visual Estimation
8.2.3.2 Calculation of LOD Based on the Numerical Value of the S/N Ratio
8.2.3.3 Calculation of LOD Based on Determinations for Blank Samples
8.2.3.4 Graphical Method
8.2.3.5 Calculating LOD Based on the Standard Deviation of Signals and the Slope of the Calibration Curve
8.2.3.6 Calculation of LOD Based on a Given LOQ
8.2.3.7 Testing the Correctness of the Determined LOD
8.2.4 Range
8.2.5 Sensitivity
8.2.6 Precision
8.2.6.1 Manners of Estimating the Standard Deviation
8.2.7 Accuracy and Trueness
8.2.7.1 Measurement Errors
8.2.8 Robustness and Ruggedness
8.2.9 Uncertainty
8.3 Conclusion
References
Chapter 9 Method Equivalence
9.1 Introduction
9.2 Ways of Equivalence Demonstration
9.2.1 Difference Testing
9.2.2 Equivalence Testing
9.2.3 Regression Analysis Testing
9.3 Conclusion

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