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Elemental metal variance in cell culture raw materials for process risk profiling
Chris Grinnell1, Lisa Bareford1, Thomas E Matthews1
1Materials Science, Durham, North Carolina, USA.
Biotechnology Progress
|April 21, 2020
Summary
Elemental metals in cell culture media impact therapeutic protein production. Monitoring these elements using inductively coupled plasma mass spectrometry (ICP-MS) is crucial for quality control.
Area of Science:
- Biopharmaceutical Manufacturing
- Analytical Chemistry
- Cell Biology
Background:
- Elemental metals are critical raw materials influencing cell culture performance and therapeutic protein quality.
- Metals like copper and manganese are essential cofactors for metabolic pathways governing cell growth, protein expression, and glycosylation.
- Complex cell culture media formulations increase the risk of elemental variance and its impact.
Purpose of the Study:
- To describe an analytical technique for characterizing elemental profiles of raw materials and media powders.
- To present a method qualification approach for biopharmaceutical raw materials.
- To discuss elemental risk profiling and control strategies for raw material variation.
Main Methods:
- Inductively coupled plasma mass spectrometry (ICP-MS) was applied for elemental characterization.
- Method qualification was performed for biopharmaceutical raw materials.
- Elemental profiles of common raw materials and media powders were generated.
Main Results:
- Detailed elemental profiles of numerous raw materials and media powders were established.
- Trends in elemental composition across different raw material subtypes were identified.
- A case study highlighted the impact of unexpected raw material elemental variation.
Conclusions:
- Elemental monitoring of raw materials is essential for consistent therapeutic protein production.
- ICP-MS provides a robust method for characterizing elemental profiles and ensuring raw material quality.
- Implementing elemental risk profiling and control is recommended to mitigate production variability.

