ReviewBioengineering (Basel, Switzerland)2022
Optimization and Scale-Up of Fermentation Processes Driven by Models.
Review in Bioengineering (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed.
- Production improvement of dalbavancin precursor A40926B0 inSynthetic and systems biotechnology · 2027Article
- De novo biosynthesis of putrescine from glucose using engineeredSynthetic and systems biotechnology · 2026Article
- Regulation of Escherichia coli fermentation processes: from molecular mechanisms to smart industrial practice.Archives of microbiology · 2026Review
- An Integrated Case Study on Fruit By-Products/Waste Management: Lactic Acid Bacteria Development, Artificial Intelligence Smart Implementation, and Reintegration into Food Chain.Foods (Basel, Switzerland) · 2026Article
- Mathematical and Computational Models of Biochemical Reactions and Cell Signaling-From Ordinary Differential Equations to Machine Learning.International journal of molecular sciences · 2026Review
- Dynamic Pareto Optimization of Consolidated Bioprocessing for Ethanol Titer, Productivity, Conversion, and Operating Severity.Bioengineering (Basel, Switzerland) · 2026Article
- From Probiotics to Postbiotics-An Update on Their Biotherapeutic Potential and the Emerging Strategies in Human Health.International journal of molecular sciences · 2026Review
- The Hawthorn (Foods (Basel, Switzerland) · 2026Review
- A digital twin approach for optimizing okara-based Greek-style yogurt using hybrid Gompertz-LSTM modeling and data assimilation.Current research in food science · 2026Article
- Engineered strains as living factories: efficient biosynthesis and modification of natural products via synthetic biology and one-pot chemical tandem reactions.Frontiers in microbiology · 2026Review
- Elucidation of the growth phenotypes of 82 strains from theFrontiers in bioengineering and biotechnology · 2026Article
- Advancing hybrid modeling of Saccharomyces cerevisiae fermentation with mixed carbon sources and urea in a mini-stirred tank reactor.Bioprocess and biosystems engineering · 2025Article
- Pressure-Guided LSTM Modeling for Fermentation Quantification Prediction.Sensors (Basel, Switzerland) · 2025Article
- Fermentation design and process optimization strategy based on machine learning.Biodesign research · 2025Review
- Statistical optimisation and analysis of biomass and exopolysaccharide production by Lacticaseibacillus rhamnosus LRH30.World journal of microbiology & biotechnology · 2025Article
- Identification and monitoring of cell heterogeneity from plasmid recombination during limonene production.Applied microbiology and biotechnology · 2025Article
- Application of machine learning for quantitative analysis of industrial fermentation using image processing.Food science and biotechnology · 2025Article
- Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses.Bioengineering (Basel, Switzerland) · 2024Review
- OptimizingFrontiers in microbiology · 2024Review
- Postbiotic production: harnessing the power of microbial metabolites for health applications.Frontiers in microbiology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
In the era of sustainable development, the use of cell factories to produce various compounds by fermentation has attracted extensive attention; however, industrial fermentation requires not only efficient production strains, but also suitable extracellular conditions and medium components, as well as scaling-up. In this regard, the use of biological models has received much attention, and this review will provide guidance for the rapid selection of biological models. This paper first introduces two mechanistic modeling methods, kinetic modeling and constraint-based modeling (CBM), and generalizes their applications in practice. Next, we review data-driven modeling based on machine learning (ML), and highlight the application scope of different learning algorithms. The combined use of ML and CBM for constructing hybrid models is further discussed. At the end, we also discuss the recent strategies for predicting bioreactor scale-up and culture behavior through a combination of biological models and computational fluid dynamics (CFD) models.
Indexed as
Identifiers
What OpenQuestion holds
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.