Evidence map›Paper›PMID 33471162›Full record

ArticleBioprocess and biosystems engineering2021

Model-assisted DoE software: optimization of growth and biocatalysis in Saccharomyces cerevisiae bioprocesses.

André Moser, Kim B Kuchemüller, Sahar Deppe, Tanja Hernández Rodríguez, Björn Frahm, Ralf Pörtner, Volker C Hass, Johannes Möller

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In one paragraph

Article in Bioprocess and biosystems engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

André MoserFaculty of Medical and Life Sciences, Furtwangen University of Applied Sciences, Villingen-Schwenningen, Germany.
Kim B KuchemüllerInstitute of Bioprocess and Biosystems Engineering, Hamburg University of Technology, Hamburg, Germany.
Sahar DeppeBiotechnology and Bioprocess Engineering, Ostwestfalen-Lippe University of Applied Sciences and Arts, Lemgo, Germany.
Tanja Hernández RodríguezBiotechnology and Bioprocess Engineering, Ostwestfalen-Lippe University of Applied Sciences and Arts, Lemgo, Germany.
Björn FrahmBiotechnology and Bioprocess Engineering, Ostwestfalen-Lippe University of Applied Sciences and Arts, Lemgo, Germany.
Ralf PörtnerInstitute of Bioprocess and Biosystems Engineering, Hamburg University of Technology, Hamburg, Germany.ORCID https://orcid.org/0000-0003-1163-9718
Volker C HassFaculty of Medical and Life Sciences, Furtwangen University of Applied Sciences, Villingen-Schwenningen, Germany.
Johannes MöllerInstitute of Bioprocess and Biosystems Engineering, Hamburg University of Technology, Hamburg, Germany. johannes.moeller@tuhh.de.ORCID http://orcid.org/0000-0001-9546-055X

Funding

http://dx.doi.org/10.13039/501100002347 031B0577A-C
6 · The paper itself

Abstract

Bioprocess development and optimization are still cost- and time-intensive due to the enormous number of experiments involved. In this study, the recently introduced model-assisted Design of Experiments (mDoE) concept (Möller et al. in Bioproc Biosyst Eng 42(5):867, https://doi.org/10.1007/s00449-019-02089-7 , 2019) was extended and implemented into a software ("mDoE-toolbox") to significantly reduce the number of required cultivations. The application of the toolbox is exemplary shown in two case studies with Saccharomyces cerevisiae. In the first case study, a fed-batch process was optimized with respect to the pH value and linearly rising feeding rates of glucose and nitrogen source. Using the mDoE-toolbox, the biomass concentration was increased by 30% compared to previously performed experiments. The second case study was the whole-cell biocatalysis of ethyl acetoacetate (EAA) to (S)-ethyl-3-hydroxybutyrate (E3HB), for which the feeding rates of glucose, nitrogen source, and EAA were optimized. An increase of 80% compared to a previously performed experiment with similar initial conditions was achieved for the E3HB concentration.

Indexed as

AcetoacetatesBatch Cell Culture TechniquesBiocatalysisBiomassBioreactorsBiotechnologyCatalysisComputer SimulationFermentationGlucoseHydrogen-Ion ConcentrationIndustrial MicrobiologyLinear ModelsModels, TheoreticalMonte Carlo MethodNitrogenAcetoacetatesethyl acetoacetateGlucoseNitrogenBiocatalysisFed-batch strategyModel-assisted design of experimentsMonte Carlo methodsQuality by design

Identifiers

PMID33471162
PMCPMC7997827

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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.