In-line monitoring of protein concentration with MIR spectroscopy during UFDF

被引:5
|
作者
Milewska, Adrianna [1 ,3 ]
Baekelandt, Geraldine [2 ]
Boutaieb, Sarra [2 ]
Mozin, Vitalii [2 ]
Falconbridge, Andrew [1 ]
机构
[1] Alvotech, Reykjavik, Iceland
[2] IRUBIS GmbH, Munich, Germany
[3] Saemundargata 15-19, IS-102 Reykjavik, Iceland
来源
ENGINEERING IN LIFE SCIENCES | 2023年 / 23卷 / 02期
关键词
bioprocessing; downstream bioprocessing; mid-infrared spectroscopy; process analytical technology; INFRARED-SPECTROSCOPY; ANTIBODY; TOOLS; PAT;
D O I
10.1002/elsc.202200050
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Rapid increase of product titers in upstream processes has presented challenges for downstream processing, where purification costs increase linearly with the increase of the product yield. Hence, innovative solutions are becoming increasingly popular. Process Analytical Technology (PAT) tools, such as spectroscopic techniques, are on the rise due to their capacity to provide real-time, precise analytics. This ensures consistent product quality and increased process understanding, as well as process control. Mid-infrared spectroscopy (MIR) has emerged as a highly promising technique within recent years, owing to its ability to monitor several critical process parameters at the same time and unchallenging spectral analysis and data interpretation. For in-line monitoring, Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) is a method of choice, as it enables reliable measurements in a liquid environment, even though water absorption bands are present in the region of interest. Here, we present MIR spectroscopy as a monitoring tool of critical process parameters in ultrafiltration/diafiltration (UFDF). MIR spectrometer was integrated in the UFDF process in an in-line fashion through a single-use flow cell containing a single bounce silicon ATR crystal. The results indicate that the one-point calibration algorithm applied to the MIR spectra, predicts highly accurate protein concentrations, as compared with validated offline analytical methods.
引用
收藏
页数:6
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