Non-Invasive Estimation of Acetates Using Off-Gas Information for Fed-Batch E. coli Bioprocess

Matukaitis, Mindaugas; Masaitis, Deividas; Urniezius, Renaldas; Zlatkus, Lukas; Vaitkus, V.

doi:10.3390/ecp2022-12668

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“…Together with a data reconciliation algorithm [ 27 ], a model proposed by M. Dabros et al incorporated mass balances of off-gas information, primarily oxygen and carbon dioxide concentrations. Our previous work also suggested a hybrid approach for acetate estimation using a decision tree model [ 28 ]. It incorporated off-gas information and information related to cell age and physiological variables such as the specific growth rate.…”

Section: Related Workmentioning

confidence: 99%

An Approach for the Estimation of Concentrations of Soluble Compounds in E. coli Bioprocesses

Masaitis,

Urniezius,

Simutis

et al. 2023

Entropy

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Accurate estimations of the concentrations of soluble compounds are crucial for optimizing bioprocesses involving Escherichia coli (E. coli). This study proposes a hybrid model structure that leverages off-gas analysis data and physiological parameters, including the average biomass age and specific growth rate, to estimate soluble compounds such as acetate and glutamate in fed-batch cultivations We used a hybrid recurrent neural network to establish the relationships between these parameters. To enhance the precision of the estimates, the model incorporates ensemble averaging and information gain. Ensemble averaging combines varying model inputs, leading to more robust representations of the underlying dynamics in E. coli bioprocesses. Our hybrid model estimates acetates with 1% and 8% system precision using data from the first site and the second site at GSK plc, respectively. Using the data from the second site, the precision of the approach for other solutes was as fallows: isoleucine −8%, lactate and glutamate −9%, and a 13% error for glutamine., These results, demonstrate its practical potential.

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Section: Related Workmentioning

confidence: 99%

An Approach for the Estimation of Concentrations of Soluble Compounds in E. coli Bioprocesses

Masaitis,

Urniezius,

Simutis

et al. 2023

Entropy

Self Cite

View full text Add to dashboard Cite

show abstract

Non-Invasive Estimation of Acetates Using Off-Gas Information for Fed-Batch E. coli Bioprocess

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 1 publication

References 14 publications

An Approach for the Estimation of Concentrations of Soluble Compounds in E. coli Bioprocesses

An Approach for the Estimation of Concentrations of Soluble Compounds in E. coli Bioprocesses

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