ArticleBioprocess and biosystems engineering2020
The shortcomings of accurate rate estimations in cultivation processes and a solution for precise and robust process modeling.
Article in Bioprocess and biosystems engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Integrating dynamic modeling and continuous cultivation to enhance recombinant β-glucosidase production in Komagataella phaffii.Bioresources and bioprocessing · 2026Article
- Overcoming the limits of traditional rate calculations from sparse concentration data: a probabilistic framework for bioprocess modeling.Bioprocess and biosystems engineering · 2026Article
- Interpretable-AI-Based Model Structural Transfer Learning to Accelerate Bioprocess Model Construction.Biotechnology and bioengineering · 2025Article
- Online 2D Fluorescence Monitoring in Microtiter Plates Allows Prediction of Cultivation Parameters and Considerable Reduction in Sampling Efforts for Parallel Cultivations ofBioengineering (Basel, Switzerland) · 2022Article
- Monte Carlo-Based Error Propagation for a More Reliable Regression Analysis across Specific Rates in Bioprocesses.Bioengineering (Basel, Switzerland) · 2021Article
- Generic and specific recurrent neural network models: Applications for large and small scale biopharmaceutical upstream processes.Biotechnology reports (Amsterdam, Netherlands) · 2021Article
- Error propagation in constraint-based modeling of Chinese hamster ovary cells.Biotechnology journal · 2021Article
- Model Transferability and Reduced Experimental Burden in Cell Culture Process Development Facilitated by Hybrid Modeling and Intensified Design of Experiments.Frontiers in bioengineering and biotechnology · 2021Article
- Time Integrated Flux Analysis: Exploiting the Concentration Measurements Directly for Cost-Effective Metabolic Network Flux Analysis.Microorganisms · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The accurate estimation of cell growth or the substrate consumption rate is crucial for the understanding of the current state of a bioprocess. Rates unveil the actual cell status, making them valuable for quality-by-design concepts. However, in bioprocesses, the real rates are commonly not accessible due to analytical errors. We simulated Escherichia coli fed-batch fermentations, sampled at four different intervals and added five levels of noise to mimic analytical inaccuracy. We computed stepwise integral estimations with and without using moving average estimations, and smoothing spline interpolations to compare the accuracy and precision of each method to calculate the rates. We demonstrate that stepwise integration results in low accuracy and precision, especially at higher sampling frequencies. Contrary, a simple smoothing spline function displayed both the highest accuracy and precision regardless of the chosen sampling interval. Based on this, we tested three different options for substrate uptake rate estimations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.