Utilizing Better MS Library Matches through Expansive Interpretation

Most 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.

Why should you Attend: 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 yu have a data quality review before reporting the results? If not, your results may suffer from misidentifications.

Areas Covered in the Session:

• Electron impact and how it works
• The quality issues of EI
• Types of common misidentifications using EI spectra
• Things to do to fill the gaps in data quality

• Laboratory Instrument Operators
• Chemists
• Supervisors