A machine‐learning approach to calibrate generic Raman models for real‐time monitoring of cell culture processes

The manufacture of biotherapeutic proteins consists of complex upstream unit operations requiring multiple raw materials, analytical techniques, and control strategies to produce safe and consistent products for patients. Raman spectroscopy is a ubiquitous multipurpose analytical technique in biopha...

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Veröffentlicht in:	Biotechnology and bioengineering 2019-10, Vol.116 (10), p.2575-2586
Hauptverfasser:	Tulsyan, Aditya, Schorner, Gregg, Khodabandehlou, Hamid, Wang, Tony, Coufal, Myra, Undey, Cenk
Format:	Artikel
Sprache:	eng
Schlagworte:	Ammonium biopharmaceutical manufacturing Biopharmaceuticals Biotechnology Calcium Calibration Cell culture Cell density Cell lines Culture media generic models Glutamine Lactic acid Learning algorithms Machine learning Manufacturing Mathematical models Model accuracy Process parameters Raman spectroscopy Raw materials Sodium Spectroscopy Spectrum analysis Viability
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