Validation of multi-parameter methods – revisiting an eu-coordinated in- house validation study for nsaid compounds in bovine milk

In the framework of monitoring residues in food of animal origin, EU laboratories face the challenge of validating analytical methods for numerous (sometimes several hundred) analytes and matrices. It is thus highly desirable to propose an approach, which will reduce the associated workload while maintaining the required level of reliability. One such approach consists in identifying relationships between the different analytes in order to constitute groups within which the method can be expected to exhibit uniform validation characteristics. This poster examines one possible approach consisting in selecting a subgroup of analytes for the validation. This approach is tested on the basis of a “coordinated” in-house validation study for a multi-parameter LC-MSMS method for NSAID compound residues in bovine milk.