Literature DB >> 27215441

Closed loop control of lactate concentration in mammalian cell culture by Raman spectroscopy leads to improved cell density, viability, and biopharmaceutical protein production.

Thomas E Matthews1, Brandon N Berry2, John Smelko3, Justin Moretto3, Brandon Moore3, Kelly Wiltberger4.   

Abstract

Accumulation of lactate in mammalian cell culture often negatively impacts culture performance, impeding production of therapeutic proteins. Many efforts have been made to limit the accumulation of lactate in cell culture. Here, we describe a closed loop control scheme based on online spectroscopic measurements of glucose and lactate concentrations. A Raman spectroscopy probe was used to monitor a fed-batch mammalian cell culture and predict glucose and lactate concentrations via multivariate calibration using partial least squares regression (PLS). The PLS models had a root mean squared error of prediction (RMSEP) of 0.27 g/L for glucose and 0.20 g/L for lactate. All glucose feeding was controlled by the Raman PLS model predictions. Glucose was automatically fed when lactate levels were beneath a setpoint (either 4.0 or 2.5 g/L) and glucose was below its own setpoint (0.5 g/L). This control scheme was successful in maintaining lactate levels at an arbitrary setpoint throughout the culture, as compared to the eventual accumulate of lactate to 8.0 g/L in the historical process. Automated control of lactate by restricted glucose feeding led to improvements in culture duration, viability, productivity, and robustness. Culture duration was extended from 11 to 13 days, and harvest titer increased 85% over the historical process. Biotechnol. Bioeng. 2016;113: 2416-2424.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  Raman; advanced process control; cell culture; chemometrics; multivariate calibration; process analytical technology

Mesh:

Substances:

Year:  2016        PMID: 27215441     DOI: 10.1002/bit.26018

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  4 in total

1.  Automated Data Generation for Raman Spectroscopy Calibrations in Multi-Parallel Mini Bioreactors.

Authors:  Alexander Graf; Angus Woodhams; Michael Nelson; Douglas D Richardson; Steven M Short; Mark Brower; Marek Hoehse
Journal:  Sensors (Basel)       Date:  2022-04-28       Impact factor: 3.847

2.  Comparison of spectroscopy technologies for improved monitoring of cell culture processes in miniature bioreactors.

Authors:  Ruth C Rowland-Jones; Frans van den Berg; Andrew J Racher; Elaine B Martin; Colin Jaques
Journal:  Biotechnol Prog       Date:  2017-03-29

Review 3.  Developments and opportunities in continuous biopharmaceutical manufacturing.

Authors:  Ohnmar Khanal; Abraham M Lenhoff
Journal:  MAbs       Date:  2021 Jan-Dec       Impact factor: 5.857

4.  Application of Raman Spectroscopy and Univariate Modelling As a Process Analytical Technology for Cell Therapy Bioprocessing.

Authors:  Marc-Olivier Baradez; Daniela Biziato; Enas Hassan; Damian Marshall
Journal:  Front Med (Lausanne)       Date:  2018-03-05
  4 in total

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