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

Feinberg, Max; Rudaz, Serge

Hardcover

ISBN 10: 3527353321 ISBN 13: 9783527353323

Verlag: Wiley-VCH, 2024

Inhaltsangabe

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

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Über die Autorin bzw. den Autor

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.

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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.

Details zur Ausgabe

• Verlag: Wiley-VCH
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 3527353321
• ISBN 13: 9783527353323
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 336
• Kontakt zum Hersteller: Wiley-VCH GmbH; product_safety@wiley.com; ; Boschstrasse 12; Weinheim; 69469; Deutschland