US 12,276,600 B2
Systems and methods for detecting foodborne pathogens using spectral analysis
Euan Mowat, Alexandria, VA (US); Matthew Theurer, Alexandria, VA (US); Sarah Rachel Hernandez, Austin, TX (US); and Mario Martinez, Alexandria, VA (US)
Assigned to Hyperspectral Corp., Alexandria, VA (US)
Filed by Hyperspectral Corp., Alexandria, VA (US)
Filed on Feb. 22, 2023, as Appl. No. 18/173,035.
Claims priority of provisional application 63/268,352, filed on Feb. 22, 2022.
Claims priority of provisional application 63/268,355, filed on Feb. 22, 2022.
Claims priority of provisional application 63/268,349, filed on Feb. 22, 2022.
Prior Publication US 2023/0266236 A1, Aug. 24, 2023
Int. Cl. G01N 21/31 (2006.01); G01N 21/01 (2006.01); G01N 21/27 (2006.01)
CPC G01N 21/314 (2013.01) [G01N 21/274 (2013.01); G01N 2021/0125 (2013.01); G01N 2021/317 (2013.01); G01N 2201/0484 (2013.01); G01N 2201/061 (2013.01); G01N 2201/12784 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a light intensity measuring apparatus couplable to a food processing apparatus, the light intensity measuring apparatus including:
a chamber configured to receive a water sample from the food processing apparatus;
a light source configured to generate light;
a detector configured to detect the light that has passed through at least a portion of the water sample in the chamber and measure multiple times intensities of wavelengths of the light to obtain multiple sets of measured intensities of wavelengths; and
a communication module configured to provide the multiple sets of measured intensities of wavelengths; and
a computing system including:
at least one processor; and
memory containing instructions, the instructions being executable by the at least one processor to:
receive the multiple sets of measured intensities of wavelengths;
process the multiple sets of measured intensities of wavelengths to obtain a set of values;
apply a first set of decision trees to the set of values to obtain a first result, the first result indicating either a first positive foodborne pathogen detection or a first negative foodborne pathogen detection for a first foodborne pathogen;
generate a first foodborne pathogen detection notification indicating either the first positive foodborne pathogen detection or the first negative foodborne pathogen detection for the first foodborne pathogen; and
provide the first foodborne pathogen detection notification.