The example that is provided by Carlos in his blog would benefit from a processing trick I use when there is no multiplet superimposition:
I simply integrate the multiplets that are recorded at different gradient intensities and I perform a monoexponential fit on integral values.
I suspect the noise on integral values is lower than the one in individual columns of the 1D spectra set, thus making D values more accurate.
Bye bye butterflies. This idea is absolutely trivial but maybe it would be interesting
to implement it.
I agree with the idea. Actually I had arrived at the same conclusion for a different reason. Look at this spectrum (a DOSY after FT):
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Before Carlos corrects me, let me stress a few details. We have processed the same experiment with two different algorithms. I got the butterflies and I am not proud of it. Carlos' pictures are a little smaller and cannot be compared:
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Today I could repeat the same processing of Carlos, because he himself has very kindly given me both the raw data and the software. But 1) I am not terribly interested into this comparison 2) He doesn't give me these things for free for me to criticize him 3) If I really want to do such a thing I'll post a comment directly on his blog.
Now let's go on: ho to make the butterflies go away? The next post shows how to transform a butterfly into bull's-eyes.
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