This definitive new book should appeal to everyone who produces, uses, or evaluates scientific data. Ensures accuracy and reliability. Dr. Taylor's book provides guidance for the development and implementation of a credible quality assurance program, plus it also provides chemists and clinical chemists, medical and chemical researchers, and all scientists and managers the ideal means to ensure accurate and reliable work. Chapters are presented in a logical progression, starting with the concept of quality assurance, principles of good measurement, principles of quality assurance, and evaluation of measurement quality. Each chapter has a degree of independence so that it may be consulted separately from the others.

knowledge. This material provided has been collected from different sources. One important source is the material available from EURACHEM. Eurachem is a network of organisations in Europe having the objective of establishing a system for the international tra- ability of chemical measurements and the promotion of good quality practices. It provides a forum for the discussion of common problems and for developing an informed and considered approach to both technical and policy issues. It provides a focus for analytical chemistry and quality related issues in Europe. You can find more information about EURACHEM on the internet via “Eurachem –A Focus for Analytical Chemistry in Europe” (http://www.eurachem.org). In particular the site Guides and Documents contains a number of different guides, which might help you to set up a quality system in your laboratory. The importance of quality assurance in analytical chemistry can best be described by the triangles depicted in Figs. 1 and 2. Quality is checked by testing and testing guaranties good quality. Both contribute to progress in QA (product control and quality) and thus to establishing a market share. Market success depends on quality, price, and flexibility. All three of them are interconnected. Before you can analyse anything the sample must be taken by someone. This must be of major concern to any analytical chemist. There is no accurate analysis wi- out proper sampling. For correct sampling you need a clear problem definition. There is no correct sampling without a clear problem definition

This definitive new book should appeal to everyone who produces, uses, or evaluates scientific data. Ensures accuracy and reliability. Dr. Taylor's book provides guidance for the development and implementation of a credible quality assurance program, plus it also provides chemists and clinical chemists, medical and chemical researchers, and all scientists and managers the ideal means to ensure accurate and reliable work. Chapters are presented in a logical progression, starting with the concept of quality assurance, principles of good measurement, principles of quality assurance, and evaluation of measurement quality. Each chapter has a degree of independence so that it may be consulted separately from the others.

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 rationale 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.

The issue of quality assurance in the analytical chemistry laboratory has become of great importance in recent years. Quality Assurance in Analytical Chemistry introduces the reader to the whole concept of quality assurance. It discusses how all aspects of chemical analysis, from sampling and method selection to choice of equipment and the taking and reporting of measurements affect the quality of analytical data. Finally, the implementation and use of quality systems are covered.