Applications of Reference Materials in Analytical Chemistry
Royal Society of Chemistry, 2007. gada 31. okt. - 160 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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Chapter 6 Use of CRMs in Method Validation and Assessing Measurement Uncertainty
Annex A List of Reference Material Producers
Annex B Statistical Tables
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accuracy all-trans-retinol analyte concentration analyte quantity value Analytical Chemistry analytical measurements analytical method analytical result apparent bias applied assessment bias detection limit calculated calibration graph calibration line calibration model calibration points calibration procedure calibration solution calibration standard certified reference material certified value characterised chemical compared confidence interval confidence level coverage factor critical value degrees of freedom documented property values equation error example expanded uncertainty Figure hexane infant formula instrument calibration instrument signal instrument signal values inter-laboratory ISO Guide laboratory linear regression matrix CRM mean measurement uncertainty metals method validation mg kg mg LT null hypothesis number of replicate p-value precision prepared primary standards purity value range recovery reference value regression line relative standard deviation relative standard uncertainty replicate determinations replicate measurements residual sample being analysed sources of uncertainty standard uncertainty statistical t-test Table traceability true value trueness u(Rm uncertainty associated