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S. Selvarasu, Y. S. Ho, W. P. K. Chong, N. S. C. Wong, F. N. K. Yusufi, Y. Y. Lee, M. G. S. Yap and D. Y. Lee, “Combined in Silico Modeling and Metabolomics Analysis to Characterize Fed-Batch CHO Cell Culture,” Biotechnology and Bioengineering, Vol. 109, No. 6, 2012, pp. 1415-1429. doi:10.1002/bit.24445

has been cited by the following article:

• TITLE: Dynamic Optimization of Bioprocesses

  AUTHORS: George Koumpouras, Cleo Kontoravdi

  KEYWORDS: Animal Cell Culture; Antibody Production; Dynamic Optimization

  JOURNAL NAME: Applied Mathematics, Vol.3 No.10A, November 1, 2012

  ABSTRACT: The Bioprocessing industry delivers high-value protein-based pharmaceutical products produced using microbial or animal cells. Animal cell culture, the only method currently available for the production of proteins with human-like post-translational modifications, is an expensive and labor-intensive process, as animal cells have complex nutrient requirements. Optimization studies have typically been limited to experimental studies, although there has recently been increased interest in combined experimental and computational approaches. In this work, we present the results of a dynamic optimization approach to improving animal cell bioprocesses. We have based this on a model validated over batch and fed-batch conditions and have examined four possible objective functions. Our results indicate that the maximization of the product concentration or the integral of viable cell concentration over time give equivalent results and can improve the product titer up to 70% over non-optimized fed-batch cultures.