US 12,422,399 B2
Systems, devices, and methods for gas sensing
Max Shulaker, Weston, MA (US); and Mindy Deanna Bishop, Cambridge, MA (US)
Assigned to Massachusetts Institute of Technology, Cambridge, MA (US)
Filed by Massachusetts Institute of Technology, Cambridge, MA (US)
Filed on May 13, 2024, as Appl. No. 18/662,578.
Application 18/662,578 is a division of application No. 18/067,455, filed on Dec. 16, 2022, granted, now 12,013,367.
Application 18/067,455 is a division of application No. 16/973,249, granted, now 11,561,195, issued on Jan. 24, 2023, previously published as PCT/US2019/036006, filed on Jun. 7, 2019.
Claims priority of provisional application 62/682,497, filed on Jun. 8, 2018.
Prior Publication US 2024/0353369 A1, Oct. 24, 2024
Int. Cl. G01N 27/414 (2006.01); G01N 33/497 (2006.01)
CPC G01N 27/4141 (2013.01) [G01N 27/4146 (2013.01); G01N 33/497 (2013.01); G01N 33/4977 (2024.05)] 20 Claims
OG exemplary drawing
 
1. A method of diagnosing ventilator-associated pneumonia (VAP) with a device comprising carbon nanotube field-effect transistors (CNFETs) arranged in a sensing layer, a memory layer operably coupled to the sensing layer, and a processing layer operably coupled to the memory layer, the method comprising:
culturing bacteria from a patient susceptible to VAP;
detecting at least one volatile organic compound (VOC) in emissions of the bacteria with the CNFETs in the sensing layer;
writing data generated by the CNFETs in parallel to memory elements in the memory layer;
transferring the data generated by the CNFETs in parallel from the memory elements to processing elements in the processing layer;
identifying, with the processing elements, the at least one VOC in the emissions of the bacteria based on the data generated by the CNFETs; and
diagnosing the patient as having VAP based on the at least one VOC in the emissions of the bacteria.