Downstream Processing

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Fouling Mechanisms of Filters in the Harvest Development of Monoclonal Antibody Therapeutics—Pt 2

The authors evaluated the potential of direct filtration for multiple biopharmaceutical candidates. This article is Part 2 of the study.

Fouling Mechanisms of Filters in the Harvest Development of Monoclonal Antibody Therapeutics—Pt 2

Fouling Mechanisms of Filters in the Harvest Development of Monoclonal Antibody Therapeutics—Pt 1

The authors present a methodology to assess the contribution of individual filters to overall capacity of the direct filtration train, and elucidate how capacity is affected by characteristics of the cell culture broth and process parameters.

Fouling Mechanisms of Filters in the Harvest Development of Monoclonal Antibody Therapeutics—Pt 1

Stepping Up Process Control with Single-Use Systems

SUS aids biopharma manufacturers to overcome the rigidity of more traditional stainless-steel technologies.

Stepping Up Process Control with Single-Use Systems

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Understanding the end-to-end management of chemistry, manufacturing, and controls (CMC) resources provides the opportunity to enhance long-term planning, leverage development options, manage resource trade offs, and track progress against plans. The goal is to improve the pharmaceutical development process to deliver the pipeline. This article provides an overview of the organizational structure of Process Research and Development (PR&D) and the CMC teams at Genentech; the alignment of resources based on CMC contracts, process development activity maps and project resource plans; and the business economic analysis for evaluating development options.

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Drug delivery technologies have the potential to enable drug candidates with poor pharmaceutical or biopharmaceutical properties, both for macromolecule and traditional compounds. While there have been many success stories to date, the future offers even more promise. In this article, the author surveys the top ten areas in drug delivery looking forward.

Process development and manufacturing for biopharmaceuticals are often disjointed activities. Disconnects among groups are aggravated by a lack of common terminology and poor data management practices. A UK biotech consortium has initiated a collaborative development effort to address data management issues. The proposed outcome is a data model, based on the ISA-88 Standard for Batch Control, to capture process and facility data throughout the product lifecycle. A data framework that follows the ISA-88 model can simplify process scale up and enable early views of project costs and facility fit.

One goal of process characterization is establishing representative performance parameter ranges that can be used to set validation acceptance criteria (VAC). Characterization studies yield varying numbers of data points from multiple experiments, and may also include data generated at different scales (e.g., bench, pilot, and commercial), which add complexity to the analysis. Many statistical approaches can be used to set ranges from large data sets. As an example, we present the statistical considerations and techniques for setting validation acceptance ranges for a chromatography step used in purifying a recombinant protein. Performance parameter data from a combined data set consisting of 67 bench, six pilot, and three full-scale runs were analyzed using the statistical analysis software JMP (SAS Institute). The combined data set was used to compute tolerance intervals, so that sources such as scale and column feed material could be properly modeled. The resulting ranges were used to establish..

The United States Pharmacopeia (USP, Rockville, MD, www.usp.org) and the UK's National Institute for Biological Standards and Control (NIBSC, Hertfordshire, UK, www.nibsc.ac.uk) are seeking participants in a study of analytical methods used by the industry to characterize and quantify oligosaccharides.

To shorten time to market for new therapeutic proteins, new and fast methods, such as high throughput screening, are needed to speed up downstream processing. The platform technology discussed in this article includes a structural approach that can be used as a general procedure to purify therapeutic proteins. The approach starts with ligand screening and selection-on-a-chip, with the Surface Enhanced Laser Desorption Ionization–Time of Flight (SELDI–TOF) mass spectrometer system. Next, resin screening and supplier selection are performed using robotics, followed by scouting studies under dynamic conditions to select the best resin. Finally, optimization studies of critical parameters are carried out with statistical design approaches (design of experiments). A few examples are presented to explain the platform approach for purification development in more detail.

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This article presents the multicolumn countercurrent solvent gradient purification (MCSGP) process, which uses three chromatographic columns, and incorporates the principle of countercurrent operation and the possibility of using solvent gradients. A MCSGP prototype has been built using commercial chromatographic equipment. The application of this prototype for purifying a MAb from a clarified cell culture supernatant using only a commercial, preparative cation exchange resin shows that the MCSGP process can result in purities and yields comparable to those of purification using Protein A.

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This article explores the development of process chromatography. Process chromatography was first applied to the removal of low molecular weight solutes from whey by gel filtration about 50 years ago. An analytical method using size exclusion chromatography was scaled up for insulin production in the 1970s, when ion exchange became a viable technology for the same application. Ion exchange was adopted as the industry workhorse as robust resins became available and formed the backbone of chromatographic processing of blood plasma fractionation in alternatives to and extensions of ethanol precipitation.

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This article discusses how on-line high-performance liquid chromatography (HPLC) can measure product purity in the column eluent stream in near–real time. These data can then enable the automation and control of a purification column operation, thus reducing product variability, shortening process cycle time, and increasing yield. An example application demonstrates how on-line HPLC is used as a process analytical technology to ensure the process can accommodate variability in the separation while ensuring the product meets its critical quality attributes.