US 12,221,602 B2
Predicting bioreactor product production based on independent or multivariate analysis of multiple physical attributes
Shuohao Huang, Toronto (CA); Gary Pigeau, Burglington (CA); and Azher Razvi, Etobicoke (CA)
Assigned to CENTRE FOR COMMERCIALIZATION OF REGENERATIVE MEDICINE, Toronto (CA)
Appl. No. 17/051,925
Filed by CENTRE FOR COMMERCIALIZATION OF REGENERATIVE MEDICINE, Toronto (CA)
PCT Filed Apr. 30, 2019, PCT No. PCT/CA2019/050558
§ 371(c)(1), (2) Date Oct. 30, 2020,
PCT Pub. No. WO2019/210405, PCT Pub. Date Nov. 7, 2019.
Claims priority of provisional application 62/665,155, filed on May 1, 2018.
Prior Publication US 2021/0115383 A1, Apr. 22, 2021
Int. Cl. C12M 1/36 (2006.01); G16C 20/70 (2019.01)
CPC C12M 41/48 (2013.01) [G16C 20/70 (2019.02)] 13 Claims
OG exemplary drawing
 
1. A system for approximating product production in a bioreactor, the system comprising:
a bioreactor for cultivating, over a time period, a product derived from or of live cells in a substrate during a manufacturing process;
two or more sensors for measuring respective two or more different physical attributes of the substrate during the time period;
a computing device communicatively coupled to the two or more sensors, the computing device comprising
a processor;
a memory; and
a communication module;
the processor communicatively coupled to the memory and the communication module;
the processor configured to
receive, from the communication module, continuous sensor data from the two or more sensors;
generate, in real-time, a recursive algorithm based on the continuous sensor data that correlates the continuous sensor data and the product production by independent consideration of the continuous sensor data of the two or more different physical attributes or by multivariate consideration of the continuous sensor data of the two or more different physical attributes; and
determine, based on the recursive algorithm, an approximate amount of the product.