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

Autorentext

*Max Feinberg has served as a research director at the National Institute of Agricultural Research (INRA). He has organized and chaired various congresses, served on the editorial boards of several journals, and coordinated various European research projects. **Serge Rudaz is full professor at the school of pharmaceutical sciences from the University of Geneva, Switzerland. He is a specialist in the analysis of low molecular weight compounds in biological matrices and an expert in method validation.*

Inhalt
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