ArticleMicrobial biotechnology2017
Bioprocess scale-up/down as integrative enabling technology: from fluid mechanics to systems biology and beyond.
Article in Microbial biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed.
- Precision Microalgae: A New Conceptual Framework for Bioengineering Applications.Bioengineering (Basel, Switzerland) · 2026Review
- Review
- Ensuring Good Transferability from Pilot- to Large-Scale Optimized Biotech Bubble Column Designs.Bioengineering (Basel, Switzerland) · 2026Article
- Overriding Bioprocess Perturbations With a Cell-Machine Interface for Reliable Microbial Stress-Response Control.Microbial biotechnology · 2026Article
- Multidimensional strategy enables scalable metabolome diversity in microbial fermentations.Scientific reports · 2026Article
- Achieving bottom-up ethical, legal, and societal implications and responsible research and innovation in the synthetic biology research community from the Japanese context.Frontiers in genetics · 2026Article
- Bioreactor Design and Engineering for Cultivated Meat Manufacturing.Advances in biochemical engineering/biotechnology · 2026Review
- Enhancing recombinant growth factor and serum protein production for cultivated meat manufacturing.Microbial cell factories · 2025Review
- Mini Bubble Columns for Miniaturizing Scale-Down.Engineering in life sciences · 2025Article
- Food for Thoughts for Prospective Biomanufacturing.Microbial biotechnology · 2025Article
- Predictive dynamic control accurately maps the design space for 2,3-butanediol production.Computational and structural biotechnology journal · 2024Article
- Deep in situ microscopy for real-time analysis of mammalian cell populations in bioreactors.Scientific reports · 2023Article
- Fungus-based bioherbicides on circular economy.Bioprocess and biosystems engineering · 2023Review
- Downscaling Industrial-Scale Syngas Fermentation to Simulate Frequent and Irregular Dissolved Gas Concentration Shocks.Bioengineering (Basel, Switzerland) · 2023Article
- Bioindustrial manufacturing readiness levels (BioMRLs) as a shared framework for measuring and communicating the maturity of bioproduct manufacturing processes.Journal of industrial microbiology & biotechnology · 2022Article
- Monitoring Intracellular Metabolite Dynamics inMetabolites · 2022Article
- A validated strategy to design efficient fermentation-industrial processes: agave spirit production.Bioprocess and biosystems engineering · 2021Article
- Transcriptional profiling of the stringent response mutant strain E. coli SR reveals enhanced robustness to large-scale conditions.Microbial biotechnology · 2021Article
- Euler-Lagrangian Simulations: A Proper Tool for Predicting Cellular Performance in Industrial Scale Bioreactors.Advances in biochemical engineering/biotechnology · 2021Article
- Automated Conditional Screening of MultipleBioengineering (Basel, Switzerland) · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Efficient optimization of microbial processes is a critical issue for achieving a number of sustainable development goals, considering the impact of microbial biotechnology in agrofood, environment, biopharmaceutical and chemical industries. Many of these applications require scale-up after proof of concept. However, the behaviour of microbial systems remains unpredictable (at least partially) when shifting from laboratory-scale to industrial conditions. The need for robust microbial systems is thus highly needed in this context, as well as a better understanding of the interactions between fluid mechanics and cell physiology. For that purpose, a full scale-up/down computational framework is already available. This framework links computational fluid dynamics (CFD), metabolic flux analysis and agent-based modelling (ABM) for a better understanding of the cell lifelines in a heterogeneous environment. Ultimately, this framework can be used for the design of scale-down simulators and/or metabolically engineered cells able to cope with environmental fluctuations typically found in large-scale bioreactors. However, this framework still needs some refinements, such as a better integration of gas-liquid flows in CFD, and taking into account intrinsic biological noise in ABM.
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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.