Overview
ABSTRACT
In the 1980s, quality assurance was introduced in analytical laboratories and method validation quickly became fundamental. It was compulsory to establish the confidence in achieved results. In this context, validation can take on two meanings depending on the field of application. On the one hand it is the essential in-house validation that any laboratory must implement. On the other hand, external validation, when several laboratories use the same method or are interested in the same analyte. This article is devoted to this last type and presents the validation techniques.
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Max FEINBERG: French National Institute for Agronomic Research (INRA) - Research Director, retired, Paris, France
INTRODUCTION
Method validation stems from the implementation of quality assurance systems in analytical laboratories. Its initial aim was to create a relationship of trust between a service provider and a customer. Initially perceived as a constraint, it quickly became an important issue, as analysts used to work fairly independently. This attitude soon disappeared, as the laboratory had everything to gain from providing results in which the client-decision-maker could have confidence. In fact, this approach was a great success, as demand for analyses of all kinds has only increased, and still continues to do so. In just a few years, analysts have become validation experts. However, we need to distinguish between in-house validation and external validation.
Historically, different internal validation procedures have been set up on a sector-by-sector basis, as water analysis specialists felt that they did not face the same problems as those in the steel industry. This is why there are still grey areas in the definitions. As a result, many method performance parameters are open to interpretation. The best example is the limit of quantification: it is widely used, even though there are dozens of calculation methods that produce different values. Better standardization of quality criteria calculation modes is certainly the approach that will resolve these problems.
This is also the case for external, or inter-laboratory, validation. As we shall see, the principles for conducting studies and the related calculations are all covered by various international standards. They also call on dedicated statistical methods.
Finally, validating a method means making standardized statistical calculations. This remark is not accidental, since this standardization effort is in line with obvious economic and technical concerns. Indeed, the progress made in analytical methods, and the confidence that people have been able to place in their results, have meant that they have become essential decision-making tools in trade, environmental or medical diagnostics. The main aim of external validation is therefore to provide a means of ensuring good comparability of measurements, preferably at international level.
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KEYWORDS
validation of analytical methods | inter-laboratory study | proficiency testing | certified reference materials | trueness | precision
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External validation of analysis methods
Bibliography
Standards and norms
- Exactitude (justesse et fidélité) des résultats et méthodes de mesure – Partie 1 : Principes généraux et définitions - ISO 5725-1 - 2023
- Exactitude (justesse et fidélité) des résultats et méthodes de mesure – Partie 2 : Méthode de base pour la détermination de la répétabilité et de la reproductibilité d'une méthode de mesure normalisée - ISO 5725-2 - 2019
- Exactitude (justesse et fidélité) des résultats...
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