Carmen Berends
Papers
1
Total Citations
26
H-Index
1
About
Carmen Berends is a leading figure in bioprocess engineering, whose work centers on the mechanistic modeling and optimization of chromatographic purification for complex biological feedstocks. Her primary research addresses a critical bottleneck in biomanufacturing: the accurate determination of model parameters for chromatography, particularly when dealing with challenging feedstocks like clarified cell harvests. In her highly cited 2018 paper, "Chromatographic parameter determination for complex biological feedstocks" (26 citations), Berends pioneered methods to overcome the twin obstacles of limited sample material and parameter uncertainty, enabling more reliable and predictive models. This contribution has proven essential for advancing the industrial adoption of mechanistic chromatography models, reducing costly trial-and-error in process development. Her work directly supports the shift toward more efficient, data-driven bioprocessing, making her a key contributor to the digitalization of downstream purification. Berends’ research is widely recognized for its practical impact, bridging the gap between theoretical modeling and real-world manufacturing constraints, and continues to influence both academic researchers and industrial practitioners seeking robust solutions for complex feedstocks.
Research Focus
Key Achievements
Top Papers
- 1Chromatographic parameter determination for complex biological feedstocks26 citations · 2018