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:
Sep. 01, 2015

Filed:

Sep. 09, 2009
Applicants:

Pablo Martinez-lozano Sinues, Madrid, ES;

Juan Fernandez DE LA Mora, New Haven, CT (US);

Inventors:

Pablo Martinez-Lozano Sinues, Madrid, ES;

Juan Fernandez De la Mora, New Haven, CT (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 33/497 (2006.01); G01N 27/62 (2006.01);
U.S. Cl.
CPC ...
G01N 33/497 (2013.01); G01N 27/624 (2013.01);
Abstract

A rapid method of volatile analysis and interpretation is taught enabling inferences on the surrounding environment as sophisticated as commonly achieved by dogs via olfaction. The method is based on rapid analysis of vapors released by persons or other organisms into a gas, correction of said analysis due to competing ambient volatiles, extraction of abundance patterns of certain preselected metabolites present in said vapor analysis, and classification of said persons or organisms by comparison of said abundance patterns with preestablished standard metabolite patterns. A preferred approach for rapid analysis involves an atmospheric pressure ionization, such as an electrospray cloud, followed by a mass spectrometer with an atmospheric pressure source. A preferred method for background correction is subtraction of the background signal from the sample signal when both are ionized at similar humidity levels. A preferred comparison pattern involves the abundance of fatty acids and other common metabolites. Preferred classification criteria include recognition of individuals, or species, or health state.


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