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Alcohol Determination in Protein Fractionation Intermediates by Steam Distillation and Digital Refractometry

by Heinz Anderle, Matthias Spork, David Horn, Theresa Bauer, Lucia Gnauer, and Alfred Weber
Volume 19, Open Access (May 2020)

Almost 75 years after implementing the industrial ethanol fractionation process, based on the pioneering work of Edwin J. Cohn’s research group, this niche biotechnology process has not lost its importance in helping to supply patients with life-saving biotherapies. Clearly, the focus has shifted from albumin, which was first used, to the indispensable immunoglobulin preparations produced for the effective, long-term treatment of patients suffering from immunodeficiencies. In addition, the widespread and safe therapeutic use of immunoglobulins has paved the way for the development of monoclonal antibodies, now used not only for the treatment of various autoimmune diseases, but also for cancer treatment. The Cohn fractionation process, based on the different solubilities of plasma proteins, depends on the five parameters of ethanol concentration, pH, temperature, protein, and salt concentration, which are the basis of this development. Ethanol concentration can clearly be considered an essential critical parameter for this process. Therefore, it is surprising that even after the advent of process analytical technology, there is still no fast, precise, and accurate procedure at hand to determine the alcohol content of Cohn fractionation intermediates. In this paper, we will describe the implementation of an old methodology for a new purpose, which is designed to close this gap.

Citation:
Anderle H, Spork M, Horn D, Bauer T, Gnauer L, Weber A. Alcohol determination in protein fractionation intermediates by steam distillation and digital refractometry. BioProcess J, 2020; 19. https://doi.org/10.12665/J19OA.Anderle

Posted online May 23, 2020.

 
Porcine Serum, Trypsin, and Other Porcine-Derived Products: Swine Viruses of Importation and Adventitious Concern

by Percy W. Hawkes
Volume 19, Open Access (Apr 2020)

The rapid and seemingly uncontrolled spread of African swine fever (ASF) throughout China and many of its neighboring countries within the last 19 months (August 2018–March 2020) has put the rest of the world on high alert. The geographic distribution of viruses of importation concern, like ASF virus (ASFV), can change very quickly, putting at risk conventional sources of porcine serum and other porcine-derived products used as ingredients in research, the manufacture of biologics, and other biomedical applications. This article reviews the 2019 information from the World Organization for Animal Health (OIE) regarding the presence or absence of eight viruses of importation concern in the swine populations of 30 countries from animal serum-producing regions of the world. Companies importing porcine raw materials for formulation into porcine products – and their customers – should be aware of the geographic location of swine diseases of importation concern. The article also identifies ten adventitious viruses of concern cited in United States Department of Agriculture (USDA) and European Union (EU) regulations that need to be tested for or eliminated through one or more barrier treatments when porcine ingredients are used in the manufacture of biologics.

Citation:
Hawkes PW. Porcine serum, trypsin, and other porcine-derived products: swine viruses of importation and adventitious concern. BioProcess J, 2020; 19. https://doi.org/10.12665/J19OA.Hawkes

Posted online Apr 16, 2020.

 
Spent Media Analysis with an Integrated CE-MS Analyzer of Chinese Hamster Ovary Cells Grown in an Ammonia-Stressed Parallel Microbioreactor Platform

by Kathryn Elliott, Ji Young L. Anderson, Colin M. Gavin, Kenion H. Blakeman, Sarah W. Harcum, and Glenn A. Harris
Volume 19, Open Access (Jan 2020)

When working on biotherapeutic process development, the analysis of spent cell culture media is often a daily practice during the optimization of bioreactor conditions and media composition. The introduction of parallel microbioreactor systems has decreased the complexity and costs of process development by allowing for concurrent studies of multiple bioreactor and media variables. However, the bioreactors’ small volumes (typically less than 250 mL) limit the volume of media one can extract for daily sampling. We describe a means to analyze spent media with an integrated microchip capillary electrophoresis mass spectrometer (CE-MS) analyzer with minimal sample volume requirements and rapid analysis time. The platform was evaluated with a parallel microbioreactor system (ambr® 250) culturing a Chinese hamster ovary (CHO) cell line stressed by varying levels of ammonia (NH3).

The spent media analysis identified net increases in the levels of the amino acids (AA) Ala, Arg, Asp, Glu, Gly, His, Ile, Leu, Lys, Phe, Thr, Trp, Tyr, and Val in all bioreactors, with Gly levels showing increases in excess of 8-fold initial levels in all bioreactors. Other media components either steadily decreased in concentration or were completely depleted by the end of culture. For example, Asn was depleted in all of the unstressed and 10 mM NH3-stressed bioreactors, but was approximately twice as high as the initial levels in the 30 mM NH3-stressed bioreactors at the end of the culture periods. Also, the 30 mM NH3-stressed condition may have caused either complete degradation or rapid consumption of choline, since it was no longer present starting at the t = 36 h sampling. Overall, the monitored media components were observed to have independent trajectories based on feeding and consumption by the cells, and depending on the stressed condition. The capability to have more frequent spent media analyses would allow for real-time observation of these process changes and associated control strategies.

Citation:
Elliott K, Anderson JYL, Gavin CM, Blakeman KH, Harcum SW, Harris GA. Spent media analysis with an integrated CE-MS analyzer of Chinese hamster ovary cells grown in an ammonia-stressed parallel microbioreactor platform. BioProcess J, 2020; 19. https://doi.org/10.12665/J19OA.Elliott

Posted online Feb 29, 2020.

 
Scale-Down Models to Support Process Characterization

by Barney Zoro and Kevin McHugh
Volume 19, Open Access (Jan 2020)

Process characterization using qualified scale-down models (SDM) offers time and resource-saving advantages to companies developing biotherapeutics. Current approaches with glass benchtop bioreactors as SDMs have demonstrated the ability to predict process performance and product quality, but are throughput- limited by infrastructure that requires significant operational input, as well as large volumes of media and reagents. In this article, the Sartorius Stedim Biotech ambr®250 high-throughput, single-use mini bioreactor system will be discussed for its suitability as an SDM for process characterization.

Citation:
Zoro B, McHugh K. Scale-down models to support process characterization. BioProcess J, 2020; 19. https://doi.org/10.12665/J19OA.Zoro

Posted online Jan 25, 2020.

 
Estimating the Uncertainty of Structured Pharmaceutical Development and Manufacturing Process Execution Risks Using a Prospective Causal Risk Model (PCRM)

by Mark F. Witcher
Volume 18, Open Access (Sep 2019)

While many risk analysis methods describe how execution or performance risks originate and propagate through pharmaceutical and biopharmaceutical manufacturing processes and systems, few provide methods for efficiently estimating the uncertainty of an execution risk’s occurrence. This article describes prospective causal risk modeling (PCRM) for estimating the risk’s uncertainty of failures associated with executing processes, particularly when little process performance information or data is available. Building upon a basic unit of risk, the process-based system risk structure (SRS) approach is combined with PCRM to provide a method of carrying out quality risk management (QRM) exercises that properly assess both the severity and uncertainty of process execution risks. After the risks are structured using an SRS, PCRM provides a straightforward and effective method for using subjective human judgement and thought experiments to evaluate the risk process’s causal mechanisms for analyzing, evaluating, and controlling the uncertainty, including its likelihood of occurrence, of significant risks associated with developing and manufacturing pharmaceuticals. Using an SRS/PCRM-based QRM exercise, a wide variety of process execution risks can be efficiently evaluated and accepted or rejected so that important risks requiring mitigation can be identified for additional evaluation, control, and eventual acceptance.

Citation:
Witcher M. Estimating the uncertainty of structured pharmaceutical development and manufacturing process execution risks using a prospective causal risk model (pcrm). BioProcess J, 2019; 18. https://doi.org/10.12665/J18OA.Witcher

Posted online Sep 18, 2019.

 
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