Biopharmaceutical manufacturing consists of multiple processes with complex unit operations. Those include mammalian cell culture in upstream operations and downstream chromatography steps for removing impurities from production streams and purifying the therapeutic biological molecule (1). Biomanufacturers need enhanced understanding to ensure the process control and manufacture of safe and efficacious drug products. Process understanding also enables opportunities for improving manufacturing efficiency. Both process understanding and optimization can be facilitated by leveraging large volumes of biotechnology data — typically generated during…
Author Archives: Shreya Maiti
Multivariate Data-Driven Modeling for Continued Process Verification
Continued process verification (CPV) is an integral part of process validation for the manufacture of human and animal drugs and biological products (1). It is designed to meet three primary goals: maintain a validated state of products, their processes, and related systems; enable continuous process improvements; and meet regulatory requirements for life-cycle validation. A CPV program for a biologic product entails regular collection of data related to critical process parameters (CPPs) and critical quality attributes (CQAs) and the preprocessing, analysis,…
Advanced Data-Driven Modeling for Biopharmaceutical Purification Processes
Purification is an essential process in biopharmaceutical manufacturing that separates a therapeutic protein in its active form from impurities. A typical purification process consists of several chromatography unit operations, and each unit operation comprises multiple phases. During the operation of each step, continuous (time-series data per parameter for each batch) and batch data (one data point per parameter for each batch) are generated by in-line sensors installed in chromatography skids on the production floor and with at-line/off-line in-process samples, respectively.…