Newsletter | December 11, 2020

12.11.20 -- Best Of 2020 - Process Development Efficiency And Outcomes

 

Process development (PD) entails a myriad of experimental runs and data analysis. With the push for shorter timelines and cost-efficient processes, solutions for robust processes and increased PD efficiency are highly valued. Here is a collection of our most popular articles from the past year to help you accelerate your process.

Is Not Using A CDMO Slowing Down Your Process Development?
 

Outsourcing process development work to a CDMO helps to move R&D forward faster, especially if your team does not have the bandwidth or expertise to complete the work on their own.

Raw Material Variability: The Need For Deeper Chromatography Process Understanding
 

As molecular diversity increases, it is critical to understand the sources of process variability in order to mitigate risks. Read about one source of variation — chromatography resin raw materials.

Understanding And Controlling Raw Materials Variation In Cell Culture Media
 

Manage variability through advanced analytical methods and risk-based assessment.

Mechanistic Modeling Of Chromatography: Opportunities And Challenges
 

What is mechanistic modeling in chromatography? Check out opportunities and challenges of an approach that can help make process development faster, more scientific, and more reliable.

Optimizing Process Efficiency In Upstream Manufacturing
 

In this article, several different approaches and technologies will be detailed that can significantly improve the efficiency of upstream processing, including cell line development, process development, process intensification, real-time analytics, and process integration.

Optimizing Cell Culture Media To Increase Cell Culture Titer With Maintained Protein Quality
 

When evaluating media with the goal of increasing titers, it is important to ensure that protein quality is not negatively impacted. So how can this process improvement be performed reliably? It makes sense to use a design of experiments (DoE) and empirical approach. Here is an example of how to do it.