using deep learning process to solve that problem such as minimize matrix peak (standard sample) compared with unknown peak (analyte-small molecule drug). can you help me to list software can do that?
It sounds like you are having trouble separating your matrix components from those you are trying to analyze. That is probably because many of them are similar. Have you considered some type of chromatography to remove at least some of the matrix?
If samples are in impure difficult in maldi, purify the samples & analyse the samples improve your results
Thanks Richard Pendarvis and Yogish. Shivanna I have a trouble to separating matrix signals and analyte peaks of small molecules. I read a paper they use a deuterated-matrix ( D4-CHCA ) to analyze small molecule drug like berberine drug (MW 336.36). m/z was shifted by +4, +8, + 12 Da that solved the problem of the overlaping peak of CHCA and drug at 336.3 Da. However, the deep learning /machine learning can minimize peaks at low mass range (
I was thinking of a bit of simple gravity driven flow column chromatography. You might use a very short column of something not highly absorbent,
Good luck
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