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GPC

Posted: Tue Aug 20, 2013 2:55 am
by Luci
Does anyone know how to perform the linearity characteristic in the method validation for GPC?

Thanks
Luci

Re: GPC

Posted: Tue Aug 20, 2013 1:51 pm
by tom jupille
For quantitation or mw determination? If quantitation, it's the same as any other type of LC.

Re: GPC

Posted: Tue Aug 20, 2013 11:14 pm
by Luci
It is Mw determination. Standards curve have 6 polystyrene standards. Can I run a curve as normal and calculate the correlation coefficient with third degree fit? or do I have to do spikes? If I have to do spike, how?

Re: GPC

Posted: Wed Aug 21, 2013 3:48 pm
by AA
Mw determinations are based on elution volume (often expressed as retention time) and those curves not really linear.

Re: GPC

Posted: Wed Aug 21, 2013 7:43 pm
by tom jupille
those curves not really linear
Which is why she's using a cubic (3rd degree polynomial) fit. I've run into a lot of people (particularly regulatory people) who mis-use the word "linearity" to be a synonym for "predictability". I had one person tell me he had gotten good linearity with his quadratic fit! :roll:

But back to the original question. I'm not sure what doing "spikes" would do for you in a mw determination. What you need to do is demonstrate that your fitting function is adequate to your data. In addition to the usual parameters (intercept and coefficients for x, x^2, & x^3, you will need to evaluate the R^2 and look at the residuals. You can also run a p-test to see if the cubic fit is appropriate. All of those can be folded into an LOF ("lack of fit") test.

I'm not a statistician, but a good place to start is with the Coleman and Vanetta articles in American Laboratory, specifically sections 22 and 23:
http://www.americanlaboratory.com/913-T ... t-Details/
http://www.americanlaboratory.com/913-T ... -Fit-Test/

Re: GPC

Posted: Thu Aug 22, 2013 2:38 am
by Luci
Thank you Tom Jupille.

Luci