Evidence map›Paper›PMID 42576864›Full record

ReviewSustainable microbiology2026

Urban mushroom farming for future foods: safety considerations and nutritional benefits.

Malsha Samarasiri, Wei Ning Chen

Abstract readReview
In one paragraph

Review in Sustainable microbiology, 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

2 authors.

Malsha SamarasiriSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637459, Singapore.ORCID https://orcid.org/0000-0002-7444-294X
Wei Ning ChenSchool of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637459, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the growing global population and rapid urbanization, urban agriculture has gained increasing attention as a sustainable pathway to achieving food security. This review discusses recent advances in urban mushroom farming, its integration with computer-based technologies, safety considerations, and the potential of mushrooms and mycelium-based foods as future foods. Urban mushroom farming systems include indoor/vertical farms, container/modular units, and rooftop/community-based setups. Technologies such as the Internet of Things, machine learning, and artificial intelligence can be incorporated to improve monitoring, control, and overall efficiency in urban mushroom farms. Mushrooms and mycelium-based products, including fruiting bodies, mycelial biomass, mycelium-fermented foods, hybrid or 3D-printed products, and mushroom extracts or functional ingredients, can be produced within urban environments while utilizing various food waste and agro-industrial residues as cultivation media. These products are rich sources of protein, essential amino acids, dietary fibre, antioxidants, ergosterols, and several essential minerals. Key safety considerations for mushrooms and mycelium-based foods in urban production systems, including biological hazards, mycotoxins, heavy metal accumulation, and potential allergenicity, are also discussed. Although mushrooms have a long history of consumption, macrofungal mycelium-based foods may be regarded as novel foods and evaluated under novel food safety regulations.

Indexed as

food safetyfood securitymushroom cultivationmyceliumurban farmingvertical farming

Identifiers

PMID42576864
PMCPMC13375316

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.