As head of bioanalytics at Sanofi, Claire Davies leads a team of >90 people involved in development, qualification, and transfer of methods to internal and external commercial quality control units; characterization, comparability, and developability of proteins and gene therapies; and analytical support for up- and downstream development, production, product release, and stability testing. She has served in a number of roles over 18 years with Sanofi, from chemistry, manufacturing, and controls (CMC) leadership of preclinical to commercial products (leading and…
PAT
Fluorescent Nanosensors: Real-Time Biochemical Measurement for Cell and Gene Therapies
Cell and gene therapies are destined to transform the methods by which global healthcare challenges are approached and overcome (1). The US Food and Drug Administration is reviewing and approving an increasing number of cell and gene therapy products (2), and biopharmaceutical developers are dedicating immense resources to realizing the enormous potential of these therapeutics. Therefore, technologies that facilitate their effective and efficient manufacture will accelerate cell and gene therapies’ transition from medicines of the future to medicines of the…
Soft Sensors for Bioprocess Monitoring
Achieving the high process efficiencies and optimization of Manufacturing 4.0 will require sophisticated software systems, mathematical modeling, and on-line process monitoring. Soft sensors are valuable tools that enable users to measure process parameters in real time. I spoke with Benjamin Bayer, data scientist at Novasign GmbH and doctoral candidate at the University of Natural Resources and Life Sciences in Vienna, Austria, about the potential of soft sensors for bioprocessing and important considerations for their use. Introduction How would you describe…
A Rapid, Low-Risk Approach Process Transfer of Biologics from Development to Manufacturing Scale
Successful scale-up of cell culture for manufacturing of biopharmaceuticals gives companies time to accelerate clinical development, product commercialization, and market access (1). Scaling a cell culture process in stirred-tank bioreactors ideally includes optimizing that process at laboratory scale and then transferring it through larger pilot-scale and finally to manufacturing-scale bioreactors (2). This is a complex, time-consuming business that can involve process transfer — sometimes to different geographical locations and through many sizes of bioreactors, each of which can operate according…
Developing Process Control Strategies for Continuous Bioprocesses
Process control enables biomanufacturers to ensure that operating parameters are within defined specifications. A control strategy should be established during early stages of process development while process and product performance are being defined using risk-based methods such as quality by design (QbD) and process analytical technologies (PATs). Confirming process control as an essential part of product development creates greater process knowledge and understanding and provides the first steps toward process optimization. By understanding how process performance relates to product quality,…
eBook: Sensor Technologies — Essential Tools for Bioprocessing 4.0
Sensors are essential devices that can be used for most, if not all, typical biopharmaceutical development and manufacturing processes to monitor fundamental process parameters such as flow, temperature, pH, and dissolved oxygen throughout all process stages. As the bioindustry progresses toward automation, digitalization, and other “Manufacturing 4.0” concepts, robust single-use and smart sensors for bioprocess monitoring will be needed. Read this BPI eBook to garner valuable perspectives on both of these types of sensors. Discussions herein focus on smart sensor…
Bioprocess Development and Qualification: PAT-Based Stage 1 and 2 Acceleration Strategies
Well-established process analytical technology (PAT) strategies, such as those based on spectroscopy, bring with them several challenges related to the nature of those tools themselves (1–3). Such tools are multiparametric by design — in the sense that most spectroscopies capture multiple attributes sometimes different in nature (e.g., near-infrared, NIR, captures chemical and physical attributes simultaneously). Often a reference method is required; at other times, indirect calibrations are based on the correlation of one culture attribute with another for which a…
Trends in Data Analytics As Organizations Undergo a Digital Transformation
The biopharmaceutical industry is in the midst of an exciting transformation as biologics experience massive growth — even outpacing the small-molecule segment (1). Biologics are predicted to comprise over a quarter of the pharmaceutical market in 2020 (2). At the same time, a plethora of new biologically derived therapy concepts — e.g., cell and gene therapies — are in development. Some biologics classes have become mainstream — e.g., monoclonal antibodies — with biosimilars entering the market and contract manufacturing organizations…
eBook: Speed to IND — Balancing Risk and Reward
With so many biopharmaceuticals obtaining breakthrough or fast-track designations, companies that use accelerated strategies to be first in human studies can be left with significant quality and manufacturing challenges that must be solved later on. Despite regulatory encouragement to create solid design spaces and define parameters according to quality by design (QbD), those may go by the wayside given the pressures of speed. The reward is the investigational new drug (IND) application itself — but if companies lock in subpar…
Flow Monitoring in Continuous Processing and Single-Use Systems
Flow sensors placed at critical points in both upstream and downstream processes fulfill the regulatory goals of the process analytical technology (PAT) framework. PAT has been defined as a mechanism for design, analysis, and control of biotechnical and pharmaceutical manufacturing processes through measurement of critical process parameters (CPP). Constant flow monitoring can support its overall targets fundamentally to reduce production cycling time prevent rejection of batches enable real-time release increase automation and control improve energy and material use facilitate continuous…