Evidence map›Paper›PMID 42516511›Full record

ArticleChem & bio engineering2026

Development of an Experimental Setup and a Validated Model for a Highly Integrated Biocatalytic Process.

Francesca von Ziegner, Grit Brauckmann, Christoph Witthoefft, Paul Bubenheim, Thomas Waluga

Abstract read
In one paragraph

Article in Chem & bio engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Francesca von ZiegnerInstitute for Process Systems Engineering, Hamburg University of Technology, Am Schwarzenberg Campus 4, Hamburg 21073, Germany.ORCID https://orcid.org/0009-0006-7244-6513
Grit BrauckmannInstitute of Technical Biocatalysis, Hamburg University of Technology, Denickestraße 15, Hamburg 21073, Germany.
Christoph WitthoefftInstitute for Process Systems Engineering, Hamburg University of Technology, Am Schwarzenberg Campus 4, Hamburg 21073, Germany.
Paul BubenheimInstitute of Technical Biocatalysis, Hamburg University of Technology, Denickestraße 15, Hamburg 21073, Germany.
Thomas WalugaInstitute for Process Systems Engineering, Hamburg University of Technology, Am Schwarzenberg Campus 4, Hamburg 21073, Germany.ORCID https://orcid.org/0000-0001-5308-3338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development and validation of a mathematical model for a highly integrated biocatalytic process are presented. A multienzymatic cascade comprising three parallel and sequential reaction steps was implemented in a miniplant setup, integrating an enzyme membrane reactor (EMR) and a reactive extraction centrifuge (REC) to enable intensified biotransformations. Laboratory-scale experiments were conducted to obtain the kinetic and thermodynamic data necessary for model development. The resulting process model captures both the enzymatic reaction kinetics and the dynamic behavior of the integrated unit operations. Model validation was performed under representative process conditions in the miniplant system. The results demonstrate good agreement between the model and experimental data, confirming the predictive power of the model and supporting its use in future process design, scale-up, and optimization. This work underscores the importance of model-based development for advancing sustainable and efficient biocatalytic processes.

Indexed as

biocatalysisenzyme membrane reactorminiplantmodel developmentmodel validationmultienzymatic cascadereactive extraction centrifuge

Identifiers

PMID42516511
PMCPMC13403005

What OpenQuestion holds

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Registered trials

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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.