£199.99 £139.99 for one year of Unlimited learning. Offer ends on 14 November 2022 at 23:59 (UTC). T&Cs apply

Find out more
Case Study: Requirements for analytical method development and validation
Skip main navigation

Case Study: Requirements for analytical method development and validation

Requirements for analytical method development and validation.
Female scientist conducting an experiment in a laboratory

Analytical methods in the food system are used to determine if there is a contaminant present in the feed or food stuff. It is important to ensure analysis methods are validated as fit for purpose.

A number of analytical methods are validated in the European Commission decision 2002/657. The validation allows the user to determine and demonstrate the methods performance and to challenge the method. This allows the user to verify the result for legal implications and assure the correct results are retrieved from a particular method.

The key validation parameters or performance characteristics of a method are outlined in the following table:

Performance Characteristic Description
Accuracy Closeness of agreement between the average value obtained from a large series of test results and an accepted reference value
Precision Expresses the closeness of agreement between a series of measurements obtained from multiple sampling of the same homogenous sample
Specificity The ability to assess indisputably the target analyte in the presence of components which may be expected to be present (such as impurities)
Limit of Detection (LOD) The lowest amount of analyte in the sample which can be detected but not necessarily quantified as an exact value
Limit of Quantification The lowest amount of analyte in the sample which can be quantitatively determined with suitable precision and accuracy
Linearity The ability (within a given range) to obtain test results which are directly proportional to the concentration (amount) of the analyte in the sample
Range The interval between the upper and lower concentration (amounts) of analyte in the sample for which it has been demonstrated that the analytical procedure has a suitable level of precision, accuracy and linearity
Robustness Shows the reliability of an analysis with respect to deliberate variations in method parameters
Stability The degree to which the substance is subject to degradation in time

Purpose of Validation

If we get a positive result: To be able to conclude with confidence that the target analyte is present in the sample at or above the legal limit

If we get a negative result: To be able to conclude with confidence that if the analyte is present at all then it must be below the legal limit or undetectable at ‘as low as reasonable achievable’ (ALARA).

What we would like you to do

Please answer the following questions in the comments section below:

  • Have you any experience in a laboratory or testing analytical methods for any of these performance characteristics?

  • Do you think method validation against these performance characteristics are important or necessary?

This article is from the free online

Farm to Fork: Sustainable Food Production in a Changing Environment

Created by
FutureLearn - Learning For Life

Our purpose is to transform access to education.

We offer a diverse selection of courses from leading universities and cultural institutions from around the world. These are delivered one step at a time, and are accessible on mobile, tablet and desktop, so you can fit learning around your life.

We believe learning should be an enjoyable, social experience, so our courses offer the opportunity to discuss what you’re learning with others as you go, helping you make fresh discoveries and form new ideas.
You can unlock new opportunities with unlimited access to hundreds of online short courses for a year by subscribing to our Unlimited package. Build your knowledge with top universities and organisations.

Learn more about how FutureLearn is transforming access to education