Evidence map›Paper›PMID 39328389›Full record

ArticleCurrent research in food science2024

Cellulose as a sustainable scaffold material in cultivated meat production.

Yunan Tang, Chenchen Shi, Yuyan Zhu, Ming Yang, Kuichuan Sheng, Ximing Zhang

Abstract read
In one paragraph

Article in Current research in food science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Edible Scaffolds for Cultivated Meat Production.Advances in biochemical engineering/biotechnology · 2026
    Review
  4. Article
  5. Review
  6. 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

6 authors.

Yunan TangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Chenchen ShiCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Yuyan ZhuDepartment of Food Science and Nutrition, Hong Kong Polytechnic University, Hong Kong, China.
Ming YangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Kuichuan ShengCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Ximing ZhangCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid progress in cultivated meat research has engendered considerable attention towards the edible scaffolding biomaterials employed in the production. Cellulose has the advantages in availability, edibility, animal-free origin, etc., which show its potential in wide fields. This review begins by presenting the fundamental physical and chemical properties of cellulose from different sources, including plant and bacterial cellulose. Subsequently, we summarize the application of cellulose especially in cultivated meat and tissue engineering. Furthermore, we explore various methods for preparing cellulose-based scaffolds for cultivated meat, encompassing five specific structural variations. In the end, associated with utilizing cellulose in cultivated meat production, we address several primary challenges surrounding to cell adhesion, scaling up, processibility and mechanical properties, and provide potential innovations. This review underscores the potential of cellulose as a versatile biomaterial in the cultivated meat industry and provides insight into addressing critical challenges for its integration.

Indexed as

Bacterial cellulose (BC)BiomaterialsCellulose derivativesCultured meatPlant cellulose

Identifiers

PMID39328389
PMCPMC11426059

What OpenQuestion holds

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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.