AI Article Synopsis
- In bioanalytical assays, internal standards are used to normalize analyte responses, helping to minimize variability during processing and detection.
- When internal standards introduce additional errors, researchers must effectively identify this variability.
- A new method utilizing a Q-test for outliers and a t-test for comparing responses in various sample types proves to be more effective than traditional methods by employing confidence levels to detect deviations.
Article Abstract
In bioanalytical assays, analyte response is normalized to an internal standard response. When the internal standard works well, it compensates for processing and detection variability. However, in case the internal standard introduces additional variability, due to addition errors or other issues, scientists need to identify this. A new method, using a Q-test for outliers and a t-test to compare internal standard response from different sample types, is applied to 15 cases. The results show that the Q-test/t-test, which uses confidence level rather than arbitrary cut-points, is more discerning of deviations compared with widely used methods. This work may improve the quality of and rationale for the internal standard response monitoring method.
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| http://dx.doi.org/10.4155/bio-2020-0207 | DOI Listing |
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