Evidence map›Paper›PMID 42058621›Full record

ReviewFrontiers in chemistry2026

From waste to resource: circular valorization of spent mushroom substrate into biochar and advanced materials.

Anagha Sunil, Julia L Shamshina

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 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.

Anagha SunilDepartment of Plant and Soil Science, Fiber and Biopolymer Research Institute, Texas Tech University, Lubbock, TX, United States.
Julia L ShamshinaDepartment of Plant and Soil Science, Fiber and Biopolymer Research Institute, Texas Tech University, Lubbock, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spent mushroom substrate (SMS), also known as spent mushroom compost, is the material that is left over after a mushroom crop has been harvested. They typically contain materials like straw, sawdust, or manure, and are rich in mycelium and leftover nutrients. SMS represents a reliable as well as sustainable lignocellulosic feedstock to produce biofuels, hydrochars and value-added products. Evidently, as an abundant waste in the agricultural field, SMS contains high levels of organic matter, making it a promising candidate for conversion into biofuels such as bioethanol, biogas and biochar by different thermochemical and biochemical processes. Hydrothermal carbonization can convert SMS into hydrochars, which can be then used for various applications including but not limited to carbon-based materials and adsorbents. In biofuel production, SMS has shown that it is valuable in fermentation into bioethanol with enzyme action. Due to its lignocellulosic nature, SMS can be further processed into durable materials with exceptional adsorptive properties, can be used in water treatment, pollution control, and soil remediation. Furthermore, the conversion of SMS into biofuels and materials offers a well-round solution for waste management, reducing environmental pollution, promoting circular economies, and supporting the development of renewable energy systems. This review examines the diverse uses of SMS, focusing on its potential as a biochar, biofuel and material precursor, and highlights the technological challenges and opportunities for optimizing the conversion processes.

Indexed as

biocharbiofuelscompostingmaterialsspent mushroom substrate (SMS)vermitechnology

Identifiers

PMID42058621
PMCPMC13122378

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.