| Title |
Bridging the gap: estimation of soluble compounds and protein concentrations in E. coli bioprocesses / |
| Authors |
Masaitis, Deividas ; Urniežius, Renaldas ; Survyla, Arnas |
| DOI |
10.15388/DAMSS.14.2023 |
| ISBN |
9786090709856 |
| Full Text |
|
| Is Part of |
DAMSS 2023:14th conference on data analysis methods for software systems, November 30 – December 2, 2023, Druskininkai, Lithuania.. Vilnius : Vilnius University press, 2023. p. 56.. ISBN 9786090709856 |
| Abstract [eng] |
In the quest to improve the bioprocess efficiency of E. coli, an accurate estimation of the concentrations of soluble compounds is crucial. Our study presents a hybrid model approach, which takes advantage of offgas analysis data and physiological parameters, including biomass age and specific growth rate, to estimate soluble compounds such as acetate and glutamate in fed-batch cultures. This methodology has proven to be effective in this context. Based on the success of this approach for estimating soluble compounds, we extend its application to the realm of protein concentration estimation within E. coli bioprocesses. Using a hybrid recurrent neural network, we establish intricate relationships between these parameters. Our model incorporates ensemble averaging, information gain and diverse model inputs, thus creating a more robust representation of E. coli bioprocess dynamics. |
| Published |
Vilnius : Vilnius University press, 2023 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2023 |
| CC license |
|
