Evidence map›Paper›PMID 41683118›Full record

ArticleFoods (Basel, Switzerland)2026

Achieving Lasting Umbilical Cord Decontamination and Sustainable Stem Cell Sourcing by Combining Plasma-Functionalized Liquid and Ultrasound.

Yuanyuan Pan, Alexander Pogoda, Monika Röntgen, Juergen F Kolb, Sybille Hasse

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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. Article
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.

Yuanyuan PanDepartment of Plasma Life Science, Leibniz Institute for Plasma Science and Technology e.V. (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany.ORCID 0000-0002-2891-3448
Alexander PogodaDepartment of Plasma Life Science, Leibniz Institute for Plasma Science and Technology e.V. (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany.
Monika RöntgenWork Group Cell Biology of Muscle Growth, Research Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.ORCID 0000-0002-1159-4663
Juergen F KolbDepartment of Plasma Life Science, Leibniz Institute for Plasma Science and Technology e.V. (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany.ORCID 0000-0002-0434-5001
Sybille HasseDepartment of Plasma Life Science, Leibniz Institute for Plasma Science and Technology e.V. (INP), Felix-Hausdorff-Str. 2, 17489 Greifswald, Germany.ORCID 0000-0002-4762-7156

Funding

Bundesministerium für Forschung, Technologie und Raumfahrt 031B1259Bundesministerium für Forschung, Technologie und Raumfahrt 031B1259C and A
6 · The paper itself

Abstract

The growing demand for alternative meat products is accelerating research into reproductive cell sources for cell-based meat processes, also called cultured meat. Porcine umbilical cord tissue is recognized as an advantageous source of mesenchymal stem cells (MSCs). However, effective decontamination must be achieved without compromising tissue integrity and cell recovery. In this study, we evaluated the decontamination of porcine umbilical cords using plasma-functionalized liquid (PFL) generated by a microwave-driven plasma source. It was applied alone and in combination with ultrasound, with the combined approach demonstrating superior performance. Specifically, the ultrasound-PFL combination treatment reduced the initial microbial load of individual tissue samples, ranging from 4.08 to 7.41 log

Indexed as

cultured meatdecontaminationplasma-functionalized liquidporcine umbilical cordultrasound

Identifiers

PMID41683118
PMCPMC12896732

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.