Manufacturing

eBook: Challenges Facing Biosimilar Entries into US Markets

Since the 2009 enactment of the Biologics Price Competition and Innovation Act (BPCIA) (1), the US Food and Drug Administration (FDA) has licensed six biosimilar products under PHS 351(k) and approved one product under FD&C 505 (b)(2). It also provided complete response letters (CRLs) to four biologics license application (BLA) filings (Table 1) (2). By comparison, the European Medicines Agency (EMA) has approved 31 biosimilar products (3) and refused or withdrawn about five. There is no doubt that US market…

Serialization: Background, Justification, Requirements, Timelines, and Readiness Across the Supply Chain

Drug manufacturers are facing unprecedented serialization challenges. Serialization requires weighty consideration and focused strategy for successful commercialization, even for those companies that have yet to bring a product to market. The World Health Organization estimates that 10% of medicines worldwide and up to 50% of drugs consumed in developing nations are counterfeit. In response to increasing drug integrity concerns, more than 40 countries have introduced laws mandating serialization and tracing of pharmaceutical products as they pass through the supply chain.…

Implementation of the BPOG Extractables Testing Protocols: Working with Multiple Single-Use Components

Single-use technologies offer significant advantages over traditional stainless-steel solutions for biopharmaceutical manufacturing. Reductions in setup times, cleaning and cleaning-validation costs, elimination of cross-contamination risks, and smaller footprints are just some of the benefits they provide. Although adoption of single-use systems (SUS) for commercial manufacturing is expanding, concerns persist that extractable and leachable (E&L) compounds from plastic SUS components potentially can leach into final drug products and compromise efficacy and safety. Those concerns are magnified amid the growing number of SUS…

Therapeutic IgG-Like Bispecific Antibodies: Modular Versatility and Manufacturing Challenges, Part 1

Antibody-based immunotherapy has advanced significantly since 1986, when the US Food and Drug Administration (FDA) approved the first mouse monoclonal antibody (MAb) for clinical use: Orthoclone OKT-3 (muromonab-CD3). In the intervening years, researchers have applied the tools of genetic engineering to clone immunoglobulin G (IgG) genes into a number of expression vectors. In the 1990s, the bioprocess industry was able to produce fully human antibodies in cultured cells. As of June 2017, the FDA and the European Medicines Agency (EMA)…

Streamlined Column-Packing Design for a New Commercial Launch Facility

To meet network demand for a commercial launch facility, Genentech (Roche) designed a new downstream train and built it within an existing building shell at the company’s Oceanside, CA, site. This downstream train included new technologies to allow for rapid technology transfer of different new products in the company’s drug pipeline. One technology that was pursued was the Axichrom column platform from GE Healthcare and associated column packing equipment to streamline column packing design. Here we focus on how a…

Addressing the Challenge of Complex Buffer Management: An In-Line Conditioning Collaboration

Preparation and storage of buffers is a challenge for biopharmaceutical companies developing protein-based pharmaceuticals. The need for volumes of buffer to purify increasing upstream titers have become a major bottleneck in biopharmaceutical downstream processing. Italian biopharmaceutical company Kedrion Biopharma collects and fractionates blood plasma to produce plasma-derived therapeutic products for treating and preventing serious diseases, disorders, and conditions such as hemophilia and immune-system deficiencies. To expand its offerings and include the immunoglobulin G fractionate of blood plasma (IgG, an antibody…

Advanced Control Strategies at Biotech Week Boston

Attendees at this year’s Biotech Week Boston (24–28 September) had the opportunity to participate in several preconference symposia on the first day, including one on advanced control strategies for bioprocessing and biomanufacturing. Chaired by William Whitford (GE Healthcare), the session included presentations from Dan Kopec (Sartorius Stedim Data Analytics), Markus Gershater (Synthace), Jonathan Bones (National Institute for Bioprocessing), Robert Thomas (Loughborough University), Chris McCready (Sartorius Stedim Data Analytics), and Victor Konakovsky (Newcastle University). BPI has collaborated with conference organizer KNect365…

Integrated PAT Automated Feedback Control of Critical Process Parameters Using Modern In Situ Analytics

Simply put, the best way to control a critical process parameter (CPP) is to measure that specific parameter, integrate the live signal into your control system, and apply a smart feedback algorithm for an automated control loop. The challenge in doing this for bioprocesses has been due, in part, to the complex, highly dynamic, and variable nature of the process along with the lack of robust, scalable, and multiformat (single-use or multiuse) technologies that can monitor (in real time) such…

Accelerating Process Development Through Flexible Automated Workflows

Synthace began as a bioprocess optimization company in 2011, spun out of University College, London. The company worked on multifactorial approaches with 15–30 factors simultaneously instead of seven or eight. The work investigated genetic strain engineering factors alongside process parameters, defining deep interactions between the way strains were designed and the way they were treated in bioprocesses. Those complex experiments gave unique insight into the complexities of biological processes, but they were exceptionally taxing to plan and carryout manually. Automation…

Model Predictive Control for Bioprocess Forecasting and Optimization

Automation hierarchy in bioprocess manufacturing consists of a regulatory layer, process analytics technology (PAT), and (potentially) a top-level model-predictive or supervisory layer. The regulatory layer is responsible for keeping typical process measurements such as temperature, pressure, flows, and pH on target. In some cases, spectral instrumentation in combination with multivariate analysis (MVA) can be configured to measure parameters such as glucose concentration. A cascade control structure can be set up when the nutrient flow setpoint is adjusted to maintain the…