A 'Universal' data-dependent mass spectrometry method that eliminates time-consuming method optimization for achieving maximal identifications from each sample

摘要

Our results show that it is possible to achieve maximal peptide identifications from samples with unknown concentrations without method optimization and lengthy reanalysis, thereby, increasing the throughput of the instrument while simultaneously improving the quality of the data acquired.