The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 14, 2019

Filed:

Sep. 29, 2015
Applicants:

Robert E. Morris, Silver Spring, MD (US);

Mark H. Hammond, Alexandria, VA (US);

Kevin J. Johnson, Alexandria, VA (US);

Jeffrey A. Cramer, Alexandria, VA (US);

Inventors:

Robert E. Morris, Silver Spring, MD (US);

Mark H. Hammond, Alexandria, VA (US);

Kevin J. Johnson, Alexandria, VA (US);

Jeffrey A. Cramer, Alexandria, VA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 30/72 (2006.01); G01N 30/86 (2006.01); G01N 33/28 (2006.01);
U.S. Cl.
CPC ...
G01N 30/7206 (2013.01); G01N 30/8675 (2013.01); G01N 33/2829 (2013.01);
Abstract

A system is described that includes a known fuels database of data from gas chromatography-mass spectrometry analyses of a library of fuels with known fuel properties for a multiple known fuel samples. Gas chromatography-mass spectrometry equipment can acquire gas chromatography-mass spectrometry data for an unknown fuel sample. A metaspectrum module can accept and transform the gas chromatography-mass spectrometry data collected by the gas chromatography-mass spectrometry equipment for the unknown fuel sample into a single metaspectrum for the unknown fuel sample, wherein the metaspectrum is a quantitative representation of every compound detected in the unknown fuel sample. A correlation module can correlate the metaspectrum for the unknown fuel sample to a plurality of fuel properties of known fuel samples using a regression model to predict fuel properties for the unknown fuel sample. A reporting module can report the fuel properties for the unknown fuel sample to a user.


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