by
lmh » Thu May 04, 2017 8:44 am
What's the shape/fit of your calibration curve like?
One thing that might be happening is that on one system you have poor linearity because something's gone wrong, and as a result, your samples are being read off a bit of the calibration curve where there's a 5% error.
My thinking is that the situation you describe is, at first sight, impossible. If I inject 5uM standard and get an area of 10,000 on one instrument, and 10,500 on the other, then when I inject it again, pretending it is now a sample, I should get areas of 10,000 and 10,500 again, and using my one-point calibration curve, both give the same answer. No bias.
But if one system is linear and the other has gone a bit curvy, and I fit a straight line through both, and then measure samples at a point where the deviation from the straight line is significant, then I will get a bias on that instrument (but not on the instrument with a nice straight calibration). 5% is not very much. In terms of linearity of fit, and R-squared values, you can get a 5% error while still thinking the fit is nice.
Do also check the quality of integration on both systems. A combination of events such as: (1) samples running as broader peaks than standards AND (2) one system being prone to even broader peaks than normal because of a dead volume AND (3) integrator settings that won't get the whole of a broad peak, or bias the base-line a bit on broad peaks, could lead to an underestimate in samples only on one instrument only. This is also possible if one system has dirt that elutes near a peak of interest, and combines with sample-related issues to give slightly questionable integration.