Is it required to calculate MU using ICQ data from Method validation data? Instead of employing three levels of concentration that span the calibration curve graph, what would happen if the prior ICQ data only covered one level of concentration? Can I make use of that specific ICQ data?
Dear Shayheful Bakar,
The use of internal quality control (IQC) data in the measurement uncertainty evaluation is a common practice in a routine analytical laboratory. The answer to your question "Can I make use of that specific ICQ data?", i.e. the data relating to a single level of the analyte, depends on what you want to have as a result of your estimation. If the uncertainty that you calculated should be only applied to the results obtained at that concentration level (that corresponds to your single-level QC data), then there is no objection. However, that uncertainty estimate will be inadequate (it will be underestimated) if a range of concentrations to be measured is assumed. Usually, covering the concentration range (and sample types) within the scope of the method is considered obligatory in the evaluation of the uncertainty for the method in order to provide a qualified uncertainty estimate.
Regards
Rouvim Kadis
Thank you so Much Dr Rouvim Kadis. Your answer really help me to figure out MU in my laboratory. So, it is mandatory for measurement of uncertainty (top down) data should be calculated from low , medium, and high level concentration for accurate result.
Dear Shayheful Bakar,
Just a small comment to my answer and to your reply as well. It is not quite correct to say "obligatory" or "mandatory" as no one is obliging you to do so and not otherwise. Here is a quote from the Guide to the Expression of Uncertainty in Measurement (GUM), that is very appropriate in this context: "The quality and utility of the uncertainty quoted for the result of a measurement therefore ultimately depend on the understanding, critical analysis, and integrity of those who contribute to the assignment of its value". Understanding, critical analysis, and integrity are all that is required.
Regards,
Rouvim Kadis