Quantification, Validation and Uncertainty in Analytical Sciences - An Analyst's Companion

This book provides foundational and expert knowledge by building on the sequence of operations starting from the quantification in analytical sciences by defining the analyte and its link to the calibration function. It empowers the reader to apply Method Accuracy Profile(MAP) efficiently as a statistical tool in measuring uncertainty. In this respect, this book is unique as it proposes a comprehensive approach to MU (Measurement Uncertainty) estimation. It elucidates several examples and template worksheets explaining the theoretical aspects of the procedure. It also allows the reader by providing practical insights to improve decision making by accurately evaluating and comparing different analytical methods

Table of Contents
Preface
1. Quantification
1.1 Define the Measurand (Analyte)
2. Calibration
2.1 Direct and Inverse Calibration
3. Precision
3.1 Outputs of Interlaboratory Studies
4. Trueness
4.1 Trueness and True Value
5. Method Validation
5.1 Review of Validation Procedures
6. Measurement Uncertainty (MU)
6.1 Principle of Measurement Uncertainty
7. Measurement Uncertainty in Analytical Sciences
7.1 Published Procedures: an evaluation
8. Measurement Uncertainty and Decision
8.1 Framework for decision-making
9. MU and Quantification Limits
9.1 Definitions and Assessment of LOQ
10. Examples of MU Application
10.1 Standard Addition Method and Drug Quality
11. Conclusions
11.1 Role of the Number of Replicates
12. Annexes
12.1 The 10-step MAP procedure