Biopharmaceutical manufacturing is a notoriously complicated process. One major challenge in this process is the product itself - particularly in biologics manufacturing. Proteins are highly complex molecules with many closely related, but functionally different variants. These factors can make analysis and quality control difficult. Traditional quality control methods are over-reliant on lab work for process sampling and analytics. Improving quality control processes requires a true disruption of the traditional approach by moving to smart quality control. Smart quality control shifts quality and performance monitoring to the shop floor to enable in-line monitoring, automated process control, and real-time data. This is achieved by harnessing cutting-edge technologies to increase cost-efficiencies throughout the supply chain.

What we'll discuss:

  • New real-time measurement technologies that overcome the challenges of durability, specificity, and speed to measure PAT Critical Process Parameters and Key Performance Indicators during the process.
  • Progressing digitalization to enable innovative process analytics (soft sensors), advanced process control (e.g. digital twin simulation), preventative maintenance, and better asset management.


  • Giovanni Campolongo

    Senior Market Segment Manager Process Analytics, Hamilton

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