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Automated peak fitting and analysis software for advanced gas chromatography and mass spectrometer systems

Award Information
Agency: Department of Commerce
Branch: National Oceanic and Atmospheric Administration
Contract: WC-133R-17-CN-0082
Agency Tracking Number: 17-1-066
Amount: $119,976.75
Phase: Phase I
Program: SBIR
Solicitation Topic Code: 8.2.7
Solicitation Number: NOAA-2017-1
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-06-12
Award End Date (Contract End Date): 2017-12-12
Small Business Information
45 Manning Road
Billerica, MA 01821-3976
United States
DUNS: 030817290
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Brian Lerner
 (978) 932-0220
Business Contact
 Brian Lerner
Phone: (978) 932-0220
Research Institution

Recent advances in gas chromatographic and mass spectrometric techniques for atmospheric
measurements have led to highly complex data sets that have overwhelmed the capabilities of
current data analysis software. We propose a new method for the automated reduction of
chromatographic data using peak-fitting algorithms. By relying upon constrained peak-fit
parameterization, accuracy of peak identification can be maintained or improved over standard
manual integration methods. The proposed analysis software can take advantage of the fast,
multithread processors available in current computer systems to process large multidimensional
data sets, especially those produced with advanced time-of-flight mass
spectrometers. Scientists who use GC-MS instruments will be able to reduce their analysis time
to a small fraction of what is currently required. With this automated analysis software, NOAA
researchers, and the atmospheric community at large, will be capable of fully and rapidly
processing large complex data sets, and will be able to push the boundaries of our
understanding of the atmosphere.

* Information listed above is at the time of submission. *

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