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- Posts: 9
- Joined: Wed Feb 16, 2011 3:35 pm
Please let me know if I have missed any previous posts regarding this issue. I've been searching as best I can, but havn't found anything definitive.
In very general terms: I am wondering if there are any guidelines or processes which outline a general method for determining acceptable ranges of peak retention times in order to confidently identify sample analytes? In other words, if a peak shifts (up or down), how much is enough to say "this peak is absolutely NOT what I am interested in"?
I would like to be able to reference a known (generalized, of course) guideline if I could, such that I have some kind of reasoning to reject seemingly aberrant analyte peaks and not reject others. I guess this stems from the idea of having a known and rigid set of guidelines to a myriad of statistical analyses, and having the almost unanimous rule of requiring p<0.05 to accept or reject statistical hypotheses. Similarly, is there some way of calculating or assessing retention times, such that under a certain set of controlled conditions, tR's outside of a certain range can be regarded as something other than your analyte of interest?
I've searched this forum as much as I could, but have found no real consensus on this matter, other than a few comments which insinuate there are no real guidelines, as it can vary depending on the method being utilized. Does this mean it is truly and completely at the discretion of the analyst?
Thanks so much in advance for any and all input!