In this paper we showed a fragment deconvolution technique that is able to clean up LC-HRMS information, using only the information of the mass domain. For the measurements used to evaluate the performance, the CNL model, with the optimized parameters of a 0.005 Da mass tolerance and a score CN L of -0.95, was able to maintain a TPr above 95% and, depending on the sample or aspect evaluated, FD rates between 45 and 77% and reduction rates between 10 and 24% have been found. Moreover, when time domain methods were combined with the CNL model, an optimal combination of correlation analysis combined with the CNL model was found, using a correlation threshold of 0.57 and the optimized CNL parameters. This combination was able to achieve a 42.6% reduction of total number of fragments with a TPr of 93.1% and a FDr of 57.2%.