Utilizing Better MS Library Matches through Expansive Interpretation
John C. Fetzer 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 you should 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
Who Will Benefit:
- Laboratory Instrument Operators
- Chemists
- Supervisors
Speaker Profile
John C. Fetzer has had over 30 year experience in HPLC methods development. He has authored or co-authored over 50 peer-reviewed papers onl iquid chromatography, has served on the editorial advisory boards of the Journal of Chromatography, Analytical Chemistry, and Analytical and Bioanalytical Chemistry.