Evidence map›Paper›PMID 42723082›Full record

ArticleFungal biology and biotechnology2026

Removal of selected pharmaceuticals from wastewater using spawn-based pellets of Pleurotus ostreatus: efficiency and environmental implications.

Malin Hultberg, Elena Surra, Oksana Golovko

Abstract read
In one paragraph

Article in Fungal biology and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

3 authors.

Malin HultbergDepartment of Biosystems and Technology, Swedish University of Agricultural Sciences (SLU), SE-234 56, Alnarp, Sweden. Malin.Hultberg@slu.se.ORCID http://orcid.org/0000-0001-7634-6102
Elena SurraInstituto Superior de Engenharia do Porto, Instituto Politécnico do Porto, REQUIMTE/LAQV, Rua Dr. António Bernardino de Almeida, 4249-015, Porto, Portugal.
Oksana GolovkoDepartment of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), SE-75007, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPharmaceutical residues are increasingly detected in aquatic environments, and conventional wastewater treatment plants often provide insufficient removal. In this study, we evaluated the capacity of spawn-based pellets of the white-rot fungus Pleurotus ostreatus to remove 11 pharmaceuticals from synthetic wastewater and the secondary effluent from a municipal wastewater treatment plant and conducted a preliminary life cycle assessment (LCA) of the treatment process.

resultIn synthetic wastewater, living fungal pellets reduced the pharmaceutical concentration by > 30% within 10 min compared to the control. Significant removal of nine compounds, particularly macrolide and sulfonamide antibiotics, was observed. Biosorption contributed to removal but accounted for only a minor fraction. In the secondary effluent, total pharmaceutical concentrations decreased by 51-66% after 2-24 h, with time-dependent removal observed for several compounds. LCA results indicated that fungal treatment combined with incineration of spent biomass had lower environmental impacts than landfilling, largely due to energy recovery. The major contributors to environmental burden were energy demands, particularly due to sterilisation during grain spawn preparation and aeration.

conclusionUse of spawn-based pellets of P. ostreatus is a biologically based treatment technology for pharmaceutical removal. Future work should address transformation products, toxicity, and process optimization to improve sustainability at scale.

Indexed as

AntibioticsLaccaseLife cycle assessment (LCA)MycoremediationWhite-rot fungi

Identifiers

PMID42723082
PMCPMC13560132

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.