Measurement Uncertainty in Chemical Analysis
Title | Measurement Uncertainty in Chemical Analysis PDF eBook |
Author | Paul De Bièvre |
Publisher | Springer Science & Business Media |
Pages | 294 |
Release | 2013-06-29 |
Genre | Science |
ISBN | 3662051737 |
It is now becoming recognized in the measurement community that it is as important to communicate the uncertainty related to a specific measurement as it is to report the measurement itself. Without knowing the uncertainty, it is impossible for the users of the result to know what confidence can be placed in it; it is also impossible to assess the comparability of different measurements of the same parameter. This volume collects 20 outstanding papers on the topic, mostly published from 1999-2002 in the journal "Accreditation and Quality Assurance." They provide the rationale for why it is important to evaluate and report the uncertainty of a result in a consistent manner. They also describe the concept of uncertainty, the methodology for evaluating uncertainty, and the advantages of using suitable reference materials. Finally, the benefits to both the analytical laboratory and the user of the results are considered.
Traceability, Validation and Measurement Uncertainty in Chemistry: Vol. 3
Title | Traceability, Validation and Measurement Uncertainty in Chemistry: Vol. 3 PDF eBook |
Author | Nineta Hrastelj |
Publisher | Springer |
Pages | 129 |
Release | 2019-08-13 |
Genre | Science |
ISBN | 3030203476 |
This book presents worked examples of five analytical procedures. These practical examples address traceability, validation and measurement uncertainty aspects in a systematic and consistent way, and cover applications in the analysis of water, food, as well as ores and minerals. This concept is based on the experiences of the TrainMiCc program, in which more than 9000 laboratory professionals all over Europe have participated.
Traceability in Chemical Measurement
Title | Traceability in Chemical Measurement PDF eBook |
Author | Paul De Bièvre |
Publisher | Springer Science & Business Media |
Pages | 318 |
Release | 2005-01-12 |
Genre | Science |
ISBN | 9783540439899 |
Metrological traceability of chemical measurement results means the establishment of a relation to metrological stated references through an unbroken chain of comparisons. This volume collects 56 outstanding papers on the topic, mostly published in the period 2000-2003 in the journal "Accreditation and Quality Assurance". They provide the latest understanding, and possibly the rationalenbsp;why it is important to integrate the concept of metrological traceability including suitable measurement standards such as certified reference materials, into the standard measurement procedures of every analytical laboratory. In addition, this anthology considers the benefits to both the analytical laboratory and the user of the measurement results.
Quantifying Uncertainty in Analytical Measurement
Title | Quantifying Uncertainty in Analytical Measurement PDF eBook |
Author | Eurachem/CITAC Working Group |
Publisher | |
Pages | 120 |
Release | 2000-01-01 |
Genre | Chemistry, Analytic |
ISBN | 9780948926150 |
Estimation and Expression of Measurement Uncertainty in Chemical Analysis
Title | Estimation and Expression of Measurement Uncertainty in Chemical Analysis PDF eBook |
Author | |
Publisher | |
Pages | 42 |
Release | 2004 |
Genre | |
ISBN |
Validation in Chemical Measurement
Title | Validation in Chemical Measurement PDF eBook |
Author | Paul De Bièvre |
Publisher | Springer Science & Business Media |
Pages | 190 |
Release | 2005-01-12 |
Genre | Science |
ISBN | 9783540207887 |
The validation of analytical methods is based on the characterisation of a measurement procedure (selectivity, sensitivity, repeatability, reproducibility). This volume collects 31 outstanding papers on the topic, mostly published in the period 2000-2003 in the journal "Accreditation and Quality Assurance". They provide the latest understanding, and possibly the rationale why it is important to integrate the concept of validation into the standard procedures of every analytical laboratory. In addition, this anthology considers the benefits to both: the analytical laboratory and the user of the measurement results.
Quantification, Validation and Uncertainty in Analytical Sciences
Title | Quantification, Validation and Uncertainty in Analytical Sciences PDF eBook |
Author | Max Feinberg |
Publisher | John Wiley & Sons |
Pages | 341 |
Release | 2024-02-12 |
Genre | Science |
ISBN | 3527353321 |
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.