Evidence map›Paper›PMID 40691106›Full record

ArticleACS synthetic biology2025

Fedbatchdesigner: A User-Friendly Dashboard for Modeling and Optimizing Growth-Arrested Fed-Batch Processes.

Andrea C Graf, Julian Libiseller-Egger, Mathias Gotsmy, Jürgen Zanghellini

Abstract read
In one paragraph

Article in ACS synthetic biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Andrea C GrafDepartment of Analytical Chemistry, University of Vienna, Vienna 1090, Austria, EU.ORCID 0009-0006-8338-2113
Julian Libiseller-EggerDepartment of Analytical Chemistry, University of Vienna, Vienna 1090, Austria, EU.ORCID 0000-0002-2208-0895
Mathias GotsmyDepartment of Chemistry and Applied Biosciences, ETH Zurich, Zürich 8093, Switzerland.ORCID 0000-0003-1333-4870
Jürgen ZanghelliniDepartment of Analytical Chemistry, University of Vienna, Vienna 1090, Austria, EU.ORCID 0000-0002-1964-2455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optimizing fed-batch fermentation strategies is key to maximizing bioprocess efficiency. While mathematical modeling can aid process design, its complexity often limits accessibility for experimental scientists. We present FedBatchDesigner, a user-friendly web tool for optimizing fed-batch processes with a growth-arrested production stage. With minimal input requirements, FedBatchDesigner enables rapid exploration of a process's titer, rate, and yield (TRY) landscape for constant, linear, and exponential feeding strategies. Interactive visualizations allow users to assess trade-offs between productivity and titer, supporting rational decision-making without the need for extensive modeling expertise. We demonstrate FedBatchDesigner's utility via two case studies: synthesis of (i) l-valine with a microaerobic production stage in

Indexed as

Batch Cell Culture TechniquesModels, BiologicalSoftwareEscherichia coliEthanolFermentationSaccharomyces cerevisiaeEthanolbioprocess designgrowth-decoupled productionmicrobial fermentationTRY optimizationweb application

Identifiers

PMID40691106
PMCPMC12362597

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.