Literature DB >> 32072210

Multi-attribute PAT for UF/DF of Proteins-Monitoring Concentration, particle sizes, and Buffer Exchange.

Laura Rolinger1, Matthias Rüdt1, Juliane Diehm1, Jessica Chow-Hubbertz2, Martin Heitmann2, Stefan Schleper2, Jürgen Hubbuch3.   

Abstract

Ultrafiltration/diafiltration (UF/DF) plays an important role in the manufacturing of biopharmaceuticals. Monitoring critical process parameters and quality attributes by process analytical technology (PAT) during those steps can facilitate process development and assure consistent quality in production processes. In this study, a lab-scale cross-flow filtration (CFF) device was equipped with a variable pathlength (VP) ultraviolet and visible (UV/Vis) spectrometer, a light scattering photometer, and a liquid density sensor (microLDS). Based on the measured signals, the protein concentration, buffer exchange, apparent molecular weight, and hydrodynamic radius were monitored. The setup was tested in three case studies. First, lysozyme was used in an UF/DF run to show the comparability of on-line and off-line measurements. The corresponding correlation coefficients exceeded 0.97. Next, urea-induced changes in protein size of glucose oxidase (GOx) were monitored during two DF steps. Here, correlation coefficients were ≥ 0.92 for static light scattering (SLS) and dynamic light scattering (DLS). The correlation coefficient for the protein concentration was 0.82, possibly due to time-dependent protein precipitation. Finally, a case study was conducted with a monoclonal antibody (mAb) to show the full potential of this setup. Again, off-line and on-line measurements were in good agreement with all correlation coefficients exceeding 0.92. The protein concentration could be monitored in-line in a large range from 3 to 120 g L- 1. A buffer-dependent increase in apparent molecular weight of the mAb was observed during DF, providing interesting supplemental information for process development and stability assessment. In summary, the developed setup provides a powerful testing system for evaluating different UF/DF processes and may be a good starting point to develop process control strategies. Graphical Abstract Piping and instrumentation diagram of the experimental setup and data generated by the different sensors. A VP UV/Vis spectrometer (FlowVPE, yellow) measures the protein concentration. From the data of the light scattering photometer (Zetasizer, green) in the on-line measurement loop, the apparant molecular weight and z-average are calculated. The density sensor (microLDS) measures density and viscosity of the fluid in the on-line loop.

Entities:  

Keywords:  Aggregation; Light scattering; PAT; Sub-visible particles; UF/DF; UV/Vis spectroscopy

Mesh:

Substances:

Year:  2020        PMID: 32072210     DOI: 10.1007/s00216-019-02318-8

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  29 in total

1.  Real-time control of antibody loading during protein A affinity chromatography using an on-line assay.

Authors:  R L Fahrner; G S Blank
Journal:  J Chromatogr A       Date:  1999-07-16       Impact factor: 4.759

2.  Real-time monitoring of recombinant antibody breakthrough during protein A affinity chromatography.

Authors:  R L Fahrner; G S Blank
Journal:  Biotechnol Appl Biochem       Date:  1999-04       Impact factor: 2.431

3.  Process analytical technologies in the pharmaceutical industry: the FDA's PAT initiative.

Authors:  Dirk C Hinz
Journal:  Anal Bioanal Chem       Date:  2006-03       Impact factor: 4.142

4.  Real-time control of purified product collection during chromatography of recombinant human insulin-like growth factor-I using an on-line assay.

Authors:  R L Fahrner; P M Lester; G S Blank; D H Reifsnyder
Journal:  J Chromatogr A       Date:  1998-12-04       Impact factor: 4.759

5.  Advances in inline quantification of co-eluting proteins in chromatography: Process-data-based model calibration and application towards real-life separation issues.

Authors:  Nina Brestrich; Adrian Sanden; Axel Kraft; Karl McCann; Joseph Bertolini; Jürgen Hubbuch
Journal:  Biotechnol Bioeng       Date:  2015-04-23       Impact factor: 4.530

Review 6.  Advances in downstream processing of biologics - Spectroscopy: An emerging process analytical technology.

Authors:  Matthias Rüdt; Till Briskot; Jürgen Hubbuch
Journal:  J Chromatogr A       Date:  2016-11-15       Impact factor: 4.759

7.  Ultrafiltration behavior of partially retained proteins and completely retained proteins using equally-staged single pass tangential flow filtration membranes.

Authors:  Abhiram Arunkumar; Junyan Zhang; Nripen Singh; Sanchayita Ghose; Zheng Jian Li
Journal:  Biotechnol Prog       Date:  2018-07-27

8.  A tool for selective inline quantification of co-eluting proteins in chromatography using spectral analysis and partial least squares regression.

Authors:  Nina Brestrich; Till Briskot; Anna Osberghaus; Jürgen Hubbuch
Journal:  Biotechnol Bioeng       Date:  2014-02-13       Impact factor: 4.530

9.  Real-time monitoring and control of the load phase of a protein A capture step.

Authors:  Matthias Rüdt; Nina Brestrich; Laura Rolinger; Jürgen Hubbuch
Journal:  Biotechnol Bioeng       Date:  2016-09-21       Impact factor: 4.530

10.  Process monitoring of virus-like particle reassembly by diafiltration with UV/Vis spectroscopy and light scattering.

Authors:  Matthias Rüdt; Philipp Vormittag; Nils Hillebrandt; Jürgen Hubbuch
Journal:  Biotechnol Bioeng       Date:  2019-02-20       Impact factor: 4.530

View more
  3 in total

1.  Continuous background correction of refractive index signal to improve monoclonal antibody concentration monitoring during UF/DF and SPTFF operations.

Authors:  Thaddaeus A Webster; Kelley Turner; Caitlin DuBois; Ryan MacDougall; Carrie Mason
Journal:  Bioprocess Biosyst Eng       Date:  2022-01-06       Impact factor: 3.210

2.  Application of inline variable pathlength technology for rapid determination of dynamic binding capacity in downstream process development of biopharmaceuticals.

Authors:  Rashmi P Bhangale; Rui Ye; Thomas B Lindsey; Leslie S Wolfe
Journal:  Biotechnol Prog       Date:  2022-02-02

Review 3.  Process Analytical Technologies and Data Analytics for the Manufacture of Monoclonal Antibodies.

Authors:  Murali K Maruthamuthu; Scott R Rudge; Arezoo M Ardekani; Michael R Ladisch; Mohit S Verma
Journal:  Trends Biotechnol       Date:  2020-08-21       Impact factor: 19.536

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.