Evidence map›Paper›PMID 42445797›Full record

ArticleFrontiers in nutrition2026

Decoding cultured meat manufacturing: a full process model to identify scale-up bottlenecks.

Katharina Julia Brenner, Jan Harvey Lindermann, Tjaša Sušnik, Alejandra Riera Hipp, Sonja Berensmeier, Thomas Hamacher, Chantal Treinen, Marius Henkel

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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

8 authors.

Katharina Julia BrennerCellular Agriculture, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Jan Harvey LindermannCellular Agriculture, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Tjaša SušnikCellular Agriculture, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Alejandra Riera HippMunich Institute of Integrated Materials, Energy and Process Engineering (MEP), Technical University of Munich, Garching, Germany.
Sonja BerensmeierMunich Institute of Integrated Materials, Energy and Process Engineering (MEP), Technical University of Munich, Garching, Germany.
Thomas HamacherMunich Institute of Integrated Materials, Energy and Process Engineering (MEP), Technical University of Munich, Garching, Germany.
Chantal TreinenCellular Agriculture, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Marius HenkelCellular Agriculture, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Despite growing interest in cultured meat, scaling its production from laboratory systems remains challenging. Its industrial translation is constrained by a lack of process-level models and validated engineering data. Methods: In this study, we developed a process model for animal cell biomass production in suspension batch culture using SuperPro Designer v12. The model describes suspension-based cell proliferation to produce unstructured biomass without microcarriers and excludes cell differentiation, tissue maturation, or structured tissue formation. It integrates media preparation, sequential cell expansion up to a 20,000 L stirred-tank reactor, downstream clarification and washing, extrusion, and supporting utilities into a single flowsheet. Unit operations were parameterized using literature-derived assumptions from mammalian suspension culture, enabling complete mass and energy balances throughout the system. Results: The baseline model assumes a maximum cell density of 5 × 10 Discussion: The model is not intended as a final process design but as a reference framework: it makes assumptions explicit, provides reproducible balances, and supports comparative scenario analysis. This framework enables systematic evaluation of scalable cultivated biomass production concepts, highlights technical potential and infrastructure requirements, and helps prevent misdirected investments by allowing process configurations to be assessed before industrial implementation.

Indexed as

alternative proteinbioprocess optimizationcell-based foodcellular agriculturecultivated meatcultured meatmedia recyclingsustainable bioprocessing

Identifiers

PMID42445797
PMCPMC13357269

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.