Utilizing Better MS Library Matches through Expansive InterpretationMost users of GC-MS and LC-MS assume those techniques do many things that the instruments do not do.
For example, that a high "goodness of fit" is definitive. These instruments are commonly weak in several key areas and especially for certain chemical compound classes. These will be described and steps to strengthen the quality of data and its reporting will be covered.
Do you operate a GC-MS or LC-MS? Do you understand the assumptions in the MS and in the spectral matching that is used to identify peaks? Do you have a data quality review before reporting the results? If not, your results may suffer from misidentifications.