2018-07-082018-07-082018-07-08ICES_2018_313http://hdl.handle.net/2346/74250Dragan Nikolic, Jet Propulsion LaboratoryStojan Madzunkov, Jet Propulsion LaboratoryMurray Darrach, Jet Propulsion LaboratoryICES205: Advanced Life Support Sensor and Control TechnologyThe 48th International Conference on Environmental Systems was held in Albuquerque, New Mexico, USA on 08 July 2018 through 12 July 2018.The Spacecraft Atmosphere Monitor (S.A.M.) is a highly compact gas chromatograph mass spectrometer (GCMS) that will analyze the spacecraft atmosphere for all volatile organic compounds (VOCs). In the Trace Gas Analysis (TGA) mode of operation the S.A.M will detect and quantify VOCs from 50 to 10,000 parts-per-billion. GCMS mass spectra from 20 to 360 Th are generated at a rate of twenty full mass spectra per second and GC co-elutions can yield overlapping electron-impact mass spectra. Despite the presence of these molecular isobars, we report herein on the S.A.M. deconvolution algorithms that have been developed and are capable of identifying target species based on their characteristic fragmentation patterns. We investigate the efficiency of deconvolution algorithm as a function of mass resolution with which mass spectrum is acquired. Finding the balance between deconvolution accuracy and generated data volume under time constrains and limited computing resources is the main topic of this study.engSpacecraft Atmosphere MonitorTrace Gas AnalysisMass SpectrometryPresentation