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:
Jan. 31, 2023

Filed:

Aug. 21, 2019
Applicant:

Lonza Ltd, Visp, CH;

Inventors:

Brandon John Downey, Bend, OR (US);

John Michael Schmitt, Bend, OR (US);

Jeffrey Francis Breit, Visp, CH;

Assignee:

LONZA LTD, Visp, CH;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G16B 5/00 (2019.01); C12M 1/26 (2006.01); B01L 3/00 (2006.01); G16B 40/00 (2019.01); C12N 5/071 (2010.01); C12M 1/34 (2006.01); G05B 13/04 (2006.01); C12M 1/00 (2006.01);
U.S. Cl.
CPC ...
G16B 5/00 (2019.02); B01L 3/502 (2013.01); C12M 29/10 (2013.01); C12M 33/00 (2013.01); C12M 41/12 (2013.01); C12M 41/26 (2013.01); C12M 41/32 (2013.01); C12M 41/34 (2013.01); C12M 41/36 (2013.01); C12M 41/38 (2013.01); C12N 5/0602 (2013.01); G05B 13/048 (2013.01); G16B 40/00 (2019.02); B01L 2300/0867 (2013.01); B01L 2400/082 (2013.01);
Abstract

A process and system for efficiently producing reference data that can be fed into a predictive model for predicting quality attribute concentrations in cell culture processes. A perfusion bioreactor is operated at pseudo-steady-state conditions and one or more attribute influencing parameters are manipulated and changed over time. As the one or more attribute influencing parameters are manipulated, one or more quality attributes are monitored and measured. In one embodiment, multiple quality attributes are monitored and measured in parallel. The quality attribute information is recorded in conjunction with the changes in the attribute influencing parameters. This information is then fed to the predictive model for propagating cell cultures in commercial processes and maintaining the cell cultures within desired preset limits.


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