Acceptance Tests

You can easily define the test system per assay. Several tests are available in PLA 3.0. When setting up your bioassay, simply add a test to the assay definitions.

• Assay Suitability Tests have the power to fail an entire assay.
• Sample Suitability Tests may fail a single assay.

Every defined test has a scope defining its applicability to the different assay elements:

• All Assay Elements
• Standard Samples
• Test Samples
• Control Samples
• Control Lines

Every test is assigned a severity level defining its impact on the overall test state:

• Reject - a failure of the test leads to a rejection of the assay. No potency is calculated.
• Warning - a failure raises a warning. The assay is failed, but a potency is calculated.
• Information - a failure just brings up an information message. The assay is accepted.

The available tests fall into three groups:

• Hypothesis Tests (F-Tests, Chi-Square-Tests)
• Equivalence Tests
• Additional Tests

We describe hypothesis tests and equivalence tests on a separate page. In addition to them the following tests are currently available:

• Max. number of outliers
• Response value range
• Relative Potency
• Relative Potency Confidence Interval
• Relative Potency Range (%)
• R²
• Assay Weight W
• Sum of Square Non-Linearity

PLA 3.0 offers a very comprehensive selection of tests to suit all your statistical needs. Still unsure, if these tests work for your application? Ask our support team to find out!