US 12,007,324 B2
Systems and methods for pH sensing in fluids
Yang Tao, Potomac, MD (US); Anjana Hevaganinge, Rockville, MD (US); Chiao-Yi Wang, College Park, MD (US); Dongyi Wang, Fayetteville, AR (US); and Mohamed Amr Ali, College Park, MD (US)
Assigned to University of Maryland, College Park, College Park, MD (US)
Filed by University of Maryland, College Park, College Park, MD (US)
Filed on Jul. 8, 2022, as Appl. No. 17/860,428.
Claims priority of provisional application 63/219,701, filed on Jul. 8, 2021.
Claims priority of provisional application 63/219,816, filed on Jul. 8, 2021.
Prior Publication US 2023/0008019 A1, Jan. 12, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G01N 21/3577 (2014.01); G01J 3/10 (2006.01); G01J 3/28 (2006.01); G01N 21/359 (2014.01)
CPC G01N 21/3577 (2013.01) [G01J 3/108 (2013.01); G01J 3/2823 (2013.01); G01N 21/359 (2013.01); G01J 2003/2843 (2013.01); G01N 2201/126 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A non-contact system for sensing of pH, the system comprising:
a hyperspectral imaging device configured to capture a hyperspectral image of a fluid;
a flow cell configured to enable the capturing of a hyperspectral image of a fluid;
a processor; and
a memory including instructions stored thereon, which, when executed by the processor, cause the system to:
generate a hyperspectral image of the fluid in the flow cell;
generate a spectral signal based on the hyperspectral image;
provide the spectral signal as an input to a machine learning network; and
predict by the machine learning network a pH of the fluid.