u/lemons13624

I am looking to understand true peaks vs deconvolution algorithm artifacts of my protein sample. My samples are run in PBS and there are many adducts. Most of the masses I can make sense of but there are a few that I cannot. Zooming into the deconvoluted peaks, many of the peaks do not return to baseline and it tails after my main protein peak. Reading into the deconvolution algorithm (MaxEnt), it is my understanding that sometimes low abundance adducts can be "averaged" through the deconvolution process to create these peaks that are tailing or they could just be artifacts of the algorithm. I am trying to find sources on what would be a good way to standardize looking at these peaks to keep them consistent from sample to sample on what I would consider a true mass. I have heard of using FWHM to compare the main peak to the potential adduct peaks and considering it a true peak if within 10-20% of the FWHM of the main peak. I would like to look into this more but cannot find a good reference on it - are there any recommendations? I've read a little on resolving power but if that uses FWHM in the calculation, can't I just consider FWHM for this comparison? Are there other parameters as to what you all use to distinguish peaks?