ArticleComputational and structural biotechnology journal2021
An oxygen-uptake-rate-based estimator of the specific growth rate in
Article in Computational and structural biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Toward the Development of a Biosimilar Variant of Glucarpidase (Carboxypeptidase G2): Secretory Production, Optimization, and Immobilization.Molecular biotechnology · 2026Article
- A Framework for Digital Technologies Application in Soft Sensing Monitoring to Recombinant Nanobody Production inACS omega · 2026Article
- The dynamic growth of bacterial cultures: real-time Bayesian estimation of substrate uptake rates in fed-batch fermentations of E. coli.Bioprocess and biosystems engineering · 2026Article
- Bio-based polylactic acid labware as a sustainable alternative for microbial cultivation in life science laboratories.Heliyon · 2024Article
- Unveiling the potential of specific growth rate control in fed-batch fermentation: bridging the gap between product quantity and quality.World journal of microbiology & biotechnology · 2024Review
- Application of Artificial Neural Network for predicting biomass growth during domestic wastewater treatment through a biological process.Engineering in life sciences · 2023Article
- Adaptive control of theComputational and structural biotechnology journal · 2023Article
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4 authors.
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Abstract
The cell cultivation process in a bioreactor is a high-value manufacturing process that requires excessive monitoring and control compatibility. The specific cell growth rate is a crucial parameter that describes the online quality of the cultivation process. Most methods and algorithms developed for online estimations of the specific growth rate controls in batch and fed-batch microbial cultivation processes rely on biomass growth models. In this paper, we present a soft sensor - a specific growth rate estimator that does not require a particular bioprocess model. The approach for online estimation of the specific growth rate is based on an online measurement of the oxygen uptake rate. The feasibility of the estimator developed in this study was determined in two ways. First, we used numerical simulations on a virtual platform, where the cell culture processes were theoretically modeled. Next, we performed experimental validation based on laboratory-scale (7, 12, 15 L) bioreactor experiments with three different Escherichia coli BL21 cell strains.
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