Generic estimator of biomass concentration for Escherichia coli and Saccharomyces cerevisiae fed-batch cultures based on cumulative oxygen consumption rate.
Renaldas UrnieziusArnas SurvylaDziugas PaulauskasVladas Algirdas BumelisVytautas GalvanauskasPublished in: Microbial cell factories (2019)
The precision errors, since the bioprocess start, when inoculant was injected to a bioreactor, confirmed that the approach is relevant for online biomass state estimation. This included the lag and exponential growth phases for both E. coli and S. cerevisiae. The suggested estimation procedure is identical for both cultures. This approach improves the precision achieved by other authors without compromising the simplicity of the implementation. Moreover, the suggested approach is a candidate method to be the microorganisms' culture invariant approach. It does not depend on any numeric initial optimization conditions, it does not require any of bioreactor parameters. No numeric stability issues of convergence occurred during multiple performance tests. All this makes this approach a potential candidate for industrial tasks with adaptive feeding control or automatic inoculations when substrate feeding profile and bioreactor parameters are not provided.
Keyphrases
- wastewater treatment
- saccharomyces cerevisiae
- escherichia coli
- healthcare
- primary care
- working memory
- health information
- anaerobic digestion
- patient safety
- machine learning
- social media
- minimally invasive
- quality improvement
- adverse drug
- human health
- climate change
- staphylococcus aureus
- amino acid
- multidrug resistant