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:
Jun. 11, 2024

Filed:

Sep. 23, 2021
Applicant:

Ut-battelle, Llc, Oak Ridge, TN (US);

Inventors:

Ilia N. Ivanov, Knoxville, TN (US);

Eric S. Muckley, San Diego, CA (US);

Reinaldo C. Reina, Brooklyn, MD (US);

Assignees:

UT-BATTELLE, LLC, Oak Ridge, TN (US);

UNIVERSITY OF TENNESSEE RESEARCH FOUNDATION, Knoxville, TN (US);

OAK RIDGE ASSOCIATED UNIVERSITIES, Oak Ridge, TN (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B29C 33/00 (2006.01); A61B 5/00 (2006.01); A61B 5/08 (2006.01); B29C 64/364 (2017.01); B29C 64/386 (2017.01); G01N 3/00 (2006.01); G01N 21/25 (2006.01); G01N 27/02 (2006.01); G01N 33/00 (2006.01); G01N 33/02 (2006.01); G01N 33/497 (2006.01); G05B 19/042 (2006.01); G06N 5/022 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G08B 21/18 (2006.01); B33Y 10/00 (2015.01); B33Y 30/00 (2015.01); B33Y 50/00 (2015.01);
U.S. Cl.
CPC ...
B29C 64/386 (2017.08); A61B 5/0004 (2013.01); A61B 5/0816 (2013.01); A61B 5/6891 (2013.01); B29C 64/364 (2017.08); G01N 3/00 (2013.01); G01N 21/25 (2013.01); G01N 27/026 (2013.01); G01N 33/0001 (2013.01); G01N 33/0031 (2013.01); G01N 33/0063 (2013.01); G01N 33/0073 (2013.01); G01N 33/02 (2013.01); G01N 33/497 (2013.01); G05B 19/042 (2013.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G08B 21/18 (2013.01); A61B 2562/046 (2013.01); B33Y 10/00 (2014.12); B33Y 30/00 (2014.12); B33Y 50/00 (2014.12); G01N 2203/0094 (2013.01); G05B 2219/2614 (2013.01);
Abstract

A system for determining an age and/or quality of food or beverage based on one or more combinations of outputs from gas sensors input into a deployed machine learning model is provided. The system may comprise an electronic nose which may comprise a housing and the gas sensors. The housing may have an air channel. Each sensor has its active sensor portion in the air channel. A system for predicting one or more natural language descriptors associated with aromas of an item based on one or more outputs of the gas sensors and calculated one or more ratios input into a logistic regression model is also provided.


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