Quantification, Validation, and Uncertainty in Analytical Sciences: A Comprehensive Guide

Authors Max Feinberg and Serge Rudaz have collaborated to create a definitive companion guide for measuring uncertainty in quantitative analytical results. This book provides both fundamental and advanced knowledge, taking readers on a journey from quantification in analytical sciences to defining the analyte and linking it to the calibration function.

A Comprehensive Approach to Measurement Uncertainty Estimation

Quantification, Validation, and Uncertainty in Analytical Sciences proposes a thorough approach to estimating measurement uncertainty (MU), empowering readers to efficiently apply the Method Accuracy Profile (MAP) as a statistical tool. With this book, professionals can accurately evaluate and compare different analytical methods, enabling them to make informed decisions.

Key Topics Covered

• 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 add-ons, and estimating MU for analytical sciences
• Uncertainty functions, employing measurement uncertainty, sampling uncertainty, quantification limits, and sample conformity assessment
• Decision making, uncertainty, and the standard addition method, including accuracy profiles for method comparison

A Valuable Resource for Professionals and Students

This book is an ideal resource for anyone quantifying or studying analytes, including professional analysts, researchers, and students. With several chapters dedicated to the practical use of MUs in decision making, readers will gain a deeper understanding of the advantages of measurement uncertainty estimation.

Published by Wiley-VCH, this first edition is set to release on February 16, 2024. It features 352 pages of in-depth information, written in English, and is supported by Screen Reader. For those who prefer to annotate, Sticky notes are available on Kindle Scribe.