Quantification, validation and uncertainty in analytical sciences : an analyst's companion

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Başlık:

Yazar:

Feinberg, Max, author.

ISBN:

9783527845279

9783527845262

Fiziksel Tanımlama:

1 online resource (336 pages)

İçerik:

List of Figures -- List of Resources -- Preface -- Glossary of Symbols -- Acknowledgments -- 1 Quantification -- 1.1 Define the Measurand (Analyte) -- 1.2 Calibration Modes -- 1.3 External Calibration (EC) -- 1.4 In-sample Calibration (ISC) -- 1.5 Some New Quantification Techniques -- 2 Calibration -- 2.1 Direct and Inverse Calibration -- 2.2 Least-squares Regression Method -- 2.3 Software Implementation -- 2.4 Calibration: Special Topics -- 2.5 Metrological Approach to Calibration -- 3 Precision -- 3.1 Outputs of Interlaboratory Studies -- 3.2 Analysis of Variance (ANOVA) -- 3.3 Balanced and Unbalanced Experimental Design -- 3.4 Software Implementation -- 4 Trueness -- 4.1 Trueness and True Value -- 4.2 Assessment of Trueness -- 4.3 Proficiency Testing -- 4.4 Control Charts -- 5 Method Validation -- 5.1 Review of Validation Procedures -- 5.2 Method Accuracy Profile (MAP) -- 5.3 Statistical Dispersion Intervals -- 5.4 Accuracy Profile: Special Topics -- 6 Measurement Uncertainty (MU) -- 6.1 Principle of Measurement Uncertainty -- 6.2 General Procedure to Estimating MU -- 6.3 Traceability at the International System of Units -- 6.4 Stage 1. Specify the Measurand -- 6.5 Stage 2. Identify Uncertainty Components -- 6.6 Stage 3. Quantify Uncertainty Sources -- 6.7 Stage 4. Calculate Combined Uncertainty -- 6.8 Calculate Expanded Uncertainty -- 6.9 Round the Result -- 6.10 Accuracy, Total Error, and Uncertainty -- 6.11 Insights on Probability -- 7 Measurement Uncertainty in Analytical Sciences -- 7.1 Published Procedures: An Evaluation -- 7.2 Use Method Accuracy Profile Data -- 7.3 Use Control Charts Data -- 7.4 Use Interlaboratory Comparison Data -- 7.5 Uncertainty Functions -- 7.6 Concept of Coverage Interval -- 8 Measurement Uncertainty and Decision -- 8.1 Framework for Decision-Making -- 8.2 Sample Conformity Assessment -- 8.3 Sampling Uncertainty -- 8.4 Measurement Uncertainty: Special Issues -- 9 MU and Quantification Limits -- 9.1 Definitions and Assessment of LOQ -- 9.2 LOQ as an Expected Relative Uncertainty -- 9.3 Decision Limit and Detection Capability -- 10 Examples of MU Application -- 10.1 Standard Addition Method and Drug Quality -- 10.2 Method Comparison Using Uncertainty -- 11 Conclusions -- 11.1 Role of the Number of Replicates -- 11.2 Traceability to International Units -- 11.3 Education about Uncertainty -- 11.4 Risk Analysis -- 11.5 Harmonization of MU Estimation Procedures -- Annexes -- The 10-step MAP Procedure -- Glossary of Used Terms -- Acronyms -- Reference -- Index.

Özet:

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.

Notlar:

John Wiley and Sons

Konu Terimleri:

Quantitative research.

Analytical chemistry -- Quantitative.

Recherche quantitative.

Analyse quantitative (Chimie)