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- Posts: 6
- Joined: Thu Jun 02, 2016 8:38 am
Wanted to discuss the following. Let's say for a targeted LC-MS analysis, you use a controlchart to guard the quality. The card checks whether your QC is within certain limits, based on the RSD determined during validation.
Because samples are created from a solution described in two significant digits, your result should also contain two significant digits, just as the QC data in the chard.
Now, what happens when your 1S (deviation) is smaller then 1, say 0.7, and your true value 15. Meaning the 1S limits are 14.3 and 15.7.
So, when a QC results in 15.5, it must be rounded to 16 and will be outside the limit, while it actually is within and thus will give a false alarm.
What would be the right way to go, accept the false alarm, or make better use of the data.