Blanks in method validation
A Supplement to the Eurachem Guide "The Fitness for Purpose of
Analytical Methods"
Contents
Blanks are an important tool and are used in the determination of most performance characteristics during a validation process. They are also often included in each analytical run during routine use of the measurement procedure. There are many different types of blanks and the analyst must consider which blanks to include during preparation of the validation plan.
The aim of this supplement is to describe the different types of blanks which may be used during method validation and to provide guidance for situations where it may be difficult to obtain a suitable blank matrix. It is intended to be used in conjunction with "The Fitness for Purpose of Analytical Methods - A Laboratory Guide to Method Validation and Related Topics (3rd ed.)"
Availability
This supplementary guidance is available in the following languages:
- Download the guide in English (published 2025) (pdf, 245 kb).
Citation
This publication should be cited* as:
"H. Cantwell (ed.) Blanks in Method Validation - Supplement to Eurachem Guide The Fitness for Purpose of Analytical Methods, (2nd ed. 2025). Available from http://www.eurachem.org"
*Subject to journal requirements
Translations
Translation into other languages is permitted for members of Eurachem. Other offers of translation should be directed to the Eurachem Secretariat for permission. The Eurachem policy on maintenance and development of Eurachem guidance, available on the Policies page, gives further information on translation.
The previous edition of this supplement is available in a number of translations. Please see previous editions here.
Previous Editions
The first edition of this supplement, and its translations, is available here.
Planning is an essential stage in the validation process. Before starting any experimental work, the aim should be to have a clear plan for the entire validation study. This should cover the performance characteristics that will be studied, the target value for each performance characteristic, the materials that will be analysed, the level of replication and order of the experiments, any statistical analysis that will be used, and how the method will be judged as being fit for purpose.
This guideline is applicable to analytical fields where the target uncertainty is not set by the regulator or the client, or where a minimum difference of the studied parameter in the same or different items must be detected in R&D work. This guide discusses how to set the target uncertainty for process development and for applied or fundamental research using information about the smallest difference or system trend that must be distinguished in a reliable way.