Quantification, Validation and Uncertainty in Analytical Sciences

An Analyst's Companion
1. Auflage 2024
ISBN: 978-3-527-35332-3
Verlag: Wiley-VCH GmbH

Buch, Englisch, 336 Seiten, Format (B × H): 175 mm x 248 mm, Gewicht: 800 g

Quantification, Validation and Uncertainty in Analytical Sciences

Companion guide explaining all processes in measuring uncertainty in quantitative analytical results

Quantification, Validation and Uncertainty in Analytical Sciences provides basic and expert knowledge by building on the sequence of operations starting from the quantification in analytical sciences by defining the analyte and linking it to the calibration function. Proposing a comprehensive approach to MU (Measurement Uncertainty) estimation, it empowers the reader to apply Method Accuracy Profile (MAP) efficiently as a statistical tool in measuring uncertainty.

The text elucidates several examples and template worksheets explaining the theoretical aspects of the procedure and includes novel method validation procedures that can accurately estimate the data obtained in measurements. It also enables the reader to provide practical insights to improve decision making by accurately evaluating and comparing different analytical methods.

Brings together an interdisciplinary approach with statistical tools and algorithms applied in analytical chemistry and written by two international experts with long-standing experience in the field of Analytical measurements and Uncertainty, Quantification, Validation and Uncertainty in Analytical Sciences includes information on: - The know-how of methods in an analytical laboratory, effective usage of a spurious measurement and methods to estimate errors. Quantification, calibration, precision, trueness, MAP addons, estimating MU for analytical sciences, and uncertainty functions
- Employing measurement uncertainty, sampling uncertainty, quantification limits, and sample conformity assessment
- Decision making, uncertainty and standard addition method, and accuracy profile for method comparison

Quantification, Validation and Uncertainty in Analytical Sciences is an ideal resource for every individual quantifying or studying analytes. With several chapters dedicated to MU’s practical use in decision making demonstrating its advantages, the book is primarily intended for professional analysts, although researchers and students will also find it of interest.

Autoren/Hrsg.

Feinberg, Max

Rudaz, Serge

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Pharmazeutische Technologie
• Naturwissenschaften Chemie Chemie Allgemein Pharmazeutische Chemie, Medizinische Chemie
• Naturwissenschaften Chemie Analytische Chemie
• Naturwissenschaften Chemie Chemie Allgemein Chemometrik, Chemoinformatik

Inhaltsverzeichnis

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

Über Autor(innen)

Max Feinberg has held various positions of research director at the National Institute of Agricultural Research (INRA). An important part of his work is in the field of chemometrics which he initiated in France and analytical chemistry of food. He has organized and chaired various congresses, served on the editorial boards of several journals, and coordinated various European research projects. He has developed theoretical and practical expertise in statistical processing and modeling of chemical data, validation of analytical methods and estimation of measurement uncertainty in chemistry.
 
Serge Rudaz is full professor in the Section pharmaceutical sciences from the University of Geneva (Switzerland). He is a specialist in the analysis of low molecular weight compounds in biological matrices. He is an expert in method validation, as well as in Multivariate data analysis (MVA) for metabolomics. Serge Rudaz has contributed to the field of analytical sciences with various activities, including conferences and visiting professorships at different universities.