So you are cleaning up your sample and using a divert valve, which is good. But you are still getting drift. Other possible causes for the drift: (1) Inconsistent LC performance. Check retention times, and if they are also drifting, fix the LC method. (2) Buildup of strongly retained material on column, which begins to elute and cause ion suppression after a enough samples are analyzed. Wash column with a strong solvent during each run after the analytes elute. In my experience this is a more common problem with plasma than with urine. (3) Spray chamber parameters are not properly optimized, causing the source to become dirty prematurely. Make sure your spray chamber parameters are appropriate for the LC mobile phase and flow rate.
About peak area drift, I have consulted an expert about Ion trap in my country, he suggests me to have correction by standard, example if the area of standard that inject after 10 samples decrease 2 folds, I will correct by plus 2 with sample’s peak area. Do you think about this? I don’t sure is it ok to do that?
I have never heard of doing this. Normally if our QC is outside of specification, then all sample results bracketed by that QC are considered invalid, and the samples must be reanalyzed. If you cannot correct the drift problem, then I recommend you use an isotope-labeled version of your analyte as an internal standard. Then if your analyte area drifts by 50%, so will your internal standard area. Since your quantitation would depend on the ratio of analyte to internal standard, this would correct for the drift, and is a commonly accepted practice.
Why you said that? I think R-squarded is important and I have to make 0.99. If I use 1/x^2 and percent error can accept but R-squarded is 0.97. Is it ok or ecceptable?
You can look at both R-squared and percent error. What I meant to say is that you should not look only at R-squared. It is possible to have R-squared of 0.9999 with an unweighted regression, and still unacceptable percent errors at the low levels. On the other hand, I have never seen a calibration curve with percent errors less than 15% at every point (i.e. acceptable), and an R-squared of 0.97. I am not saying it is impossible, but I have never seen it with LC-MS.