Increasing Upstream Bioprocessing Efficiency through Process Analytical Technology

In biologics production, the upstream bioprocess contributes significantly to product quality and manufacturing efficiency. A comprehensive understanding on which process parameters are critical and how they influence process outcome allows the development of tailored control strategies and, as a result, achieving consistent process performance.

Compared to offline measurements in a sample that has been taken from the bioreactor, inline analysis of process parameters reduces the manual workload and facilitates the implementation of automated feedback control loops. While inline analytics of some process parameters, such as temperature, DO, and pH is well established, real-time measurement of others, such as metabolite concentrations or cell viability is not yet routine.

Here we present strategies for in line process analytics that aimed at automated feed control in an upstream bioprocess. Using the example of a Raman analyzer, a glucose analyzer, and an exhaust analyzer we demonstrate, how to achieve seamless sensor integration with the bioprocess control software. In all cases we met the challenge of keeping the glucose concentration stable during the bioprocess run and minimize human intervention.

  • Get to know, how inline process analytics can improve bioprocess efficiency
  • Learn, which bioreactor software features are needed to integrate analyzers and to implement automated feedback control loops
  • Benefit from hands-on experience in integrating analyzers to automate culture feeding

Date & Time: September 29, 2021 at 10am EDT| 7am PDT| 3pm BST| 4pm CEST


  • Dr. Joerg Schwinde, Eppendorf AG – Bioprocess Center, Juelich, Germany

Register here

Dr. Joerg Schwinde
Eppendorf AG – Bioprocess Center, Juelich, Germany

Troubleshooting Cell-based Assays - Ask the Experts to Avoid Common Pitfalls from Cell Seeding to Analysis

The assessment of cell health and cellular responses after experimental manipulation continue to be a very important aspect of experimental biology. Reproducibility of cell-based assays is one of the key points when it comes to data reliability. Despite choosing the appropriate assay type there are many more factors to be considered to mitigate data variability. This joint Promega and Eppendorf webinar series gives a comprehensive overview of the cell culture workflow and introduce measures to maximize the outcome of your cell-based assay.

In this episode, our experts will review the most frequently asked questions, that have been collected over the past years, including:

  • When to ideally time an analysis?
  • Does the passage number influence experimental outcomes?
  • When to choose what detection mode?
  • How to select the appropriate microtiter plate?
  • What is the best method for detecting mycoplasma?

Join us to participate in the live Q&A session. If you can´t make it just register to receive the link to the recorded session.

Date & Time: October 7, 2021 at 7am PST, 10am EST, 4pm CET


  • Jessica Wagener, PhD, Application Specialist Cell Handling, Eppendorf AG
  • Erik Bonke, PhD, Application Specialist, Promega GmbH

Register here

Jessica Wagener, PhD, Application Specialist Cell Handling, Eppendorf AG
Erik Bonke, PhD, Application Specialist, Promega GmbH