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Homepage>BS Standards>71 CHEMICAL TECHNOLOGY>71.040 Analytical chemistry>71.040.30 Chemical reagents>PD ISO GUIDE 35:2017 Reference materials. Guidance for characterization and assessment of homogeneity and stability
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immediate downloadReleased: 2017-10-31
PD ISO GUIDE 35:2017 Reference materials. Guidance for characterization and assessment of homogeneity and stability

PD ISO GUIDE 35:2017

Reference materials. Guidance for characterization and assessment of homogeneity and stability

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Standard number:PD ISO GUIDE 35:2017
Pages:116
Released:2017-10-31
ISBN:978 0 580 86736 1
Status:Standard
DESCRIPTION

PD ISO GUIDE 35:2017


This standard PD ISO GUIDE 35:2017 Reference materials. Guidance for characterization and assessment of homogeneity and stability is classified in these ICS categories:
  • 71.040.30 Chemical reagents

This document explains concepts and provides approaches to the following aspects of the production of reference materials:

  • the assessment of homogeneity;

  • the assessment of stability and the management of the risks associated with possible stability issues related to the properties of interest;

  • the characterization and value assignment of properties of a reference material;

  • the evaluation of uncertainty for certified values;

  • the establishment of the metrological traceability of certified property values.

The guidance given supports the implementation of ISO 17034 . Other approaches may also be used as long as the requirements of ISO 17034 are fulfilled.

Brief guidance on the need for commutability assessment (6.11) is given in this document, but no technical details are provided. A brief introduction for the characterization of qualitative properties (9.6 to 9.10) is provided together with brief guidance on sampling such materials for homogeneity tests (Clause 7). However, statistical methods for the assessment of the homogeneity and stability of reference materials for qualitative properties are not covered. This document is also not applicable to multivariate quantities, such as spectral data.