Suitability testing

Assays are based on curve similarity. This provides the opportunity to check the validity of calculations every time they are performed. Use suitability tests to ensure valid results. A typical suitability test you can use is one that checks for similarity/parallelism.

Note: If you do not add any tests, you can still calculate relative potencies, but you cannot check their validity.

Test types

PLA 3.0 supports the following types of suitability tests:
  • Assay suitability tests: If the test fails, all Test samples of the assay fail.

  • Sample suitability tests: If the test fails, only the related Test sample fails.

Tip: Set up Assay suitability tests for (well-known) Control samples. If these tests fail, the results for all Test samples in the assays fail.

Severity levels

The severity level you assign to a test controls how failed tests affect the assay results. The highest severity level among failed tests determines how assay results are handled.

The term 'assay' in this context refers to calculations for individual sample pairs (Test sample compared to Standard) unless you use simultaneous regression. If you set up a test as an Assay suitability test, it also counts for calculations of the overall test results of other sample pairs in the assay document.

The following levels are available:
  • Reject: The assay results fail, and no potencies are calculated or reported.

  • Warning: The assay results fail, but potencies are still calculated and reported.

  • Information: The assay results pass the test, but an information message is displayed.

Scope of the test

The test scope determines the assay elements you want to include in the test. The following scopes are available:
  • All assay elements: Runs the test for every assay element.

  • Standard only: Runs the test for the Standard sample.

  • Test samples only: Runs the test for every Test sample.

  • Control samples only: Runs the test for every Control sample.