Applications of Reference Materials in Analytical Chemistry
Royal Society of Chemistry, 2001 - 147 lappuses
Reference materials play an important role in analytical chemistry, where they are used by analysts for a variety of purposes, including: checking and calibrating instruments; validating methods and estimating the uncertainty of analytical measurements; checking laboratory and analyst performance; and internal quality control. This book provides guidance and information for the users of certified reference materials (CRMs), explaining how they can best be used to achieve valid analytical measurements and improve quality in the analytical laboratory. General information on CRMs and how they are produced sets the scene for readers. The statistics relating to CRM use are then explained in an easy-to-understand manner, and this is followed by sections covering the main uses of CRMs. Detailed worked examples are used throughout. Structured and comprehensive in coverage, this book will be welcomed by all users of certified reference materials.
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Simple Statistics for Users of CRMs
The Use of CRMs for Instrument Calibration
Use of CRMs for Assessing the Accuracy of Analytical Data
Use of CRMs in Method Validation and Assessing
Annex A List of Reference Material Producers
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acceptable accuracy additional analyte quantity applied approach appropriate assessment associated bias calculated calibration standard carried certified certified reference material certified value Chapter characterised chemical combined compared concentration confidence contribution correction depends described detection determination discussed effects equation error established estimate example expanded uncertainty expected experiment extract factor Figure given gives graph important independent instrument calibration instrument signal known laboratory less limit linear matrix CRM mean measurement metals method method validation mg kg necessary Note observed obtained outlier particular performance plot points possible practical precision prepared procedure produced property values pure purity range recovery reference material reference value regression line relative standard repeatability replicate represents residual sample shows significant single situation solution sources standard deviation standard uncertainty statistical Table taken term true units usually validation