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Record W2019026970 · doi:10.1039/c4fo01135j

A comparative study on edible Agaricus mushrooms as functional foods

2015· article· en· W2019026970 on OpenAlexaff
Jasmina Glamočlija, Dejan Stojković, Miloš Nikolić, Ana Ćirić, Filipa S. Reis, Lillian Barros, Isabel C.F.R. Ferreira, Marina Sokóvić

Bibliographic record

VenueFood & Function · 2015
Typearticle
Languageen
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsAgaricus bisporusAgaricusMushroomFood scienceAntimicrobialChemistryAntioxidantEdible mushroomAntifungalSugarQuorum sensingMinimum inhibitory concentrationTraditional medicineBiologyMicrobiologyBiochemistryVirulenceOrganic chemistry

Abstract

fetched live from OpenAlex

Agaricus bisporus is a cultivated mushroom; A. bitorquis, A. campestris and A. macrosporus are edible mushrooms growing wild in nature. A chemical characterization was carried out with samples that originated in Serbia. Antioxidant, antimicrobial and anti-quorum sensing properties of their methanolic and ethanolic extracts were assessed. A. campestris had the lowest caloric value and total sugar content and showed the highest concentration in organic and phenolic acids, as also in tocopherols (mainly γ-tocopherol). In general, the methanolic extracts showed higher antioxidant, but lower antibacterial and antifungal potential than ethanolic ones. Sub-inhibitory concentrations of the ethanolic extracts demonstrated reduction of virulence factors, AQ inhibition zones, twitching and swimming motility. The biofilm forming capability of P. aeruginosa PAO1 was also reduced in a concentration-dependent manner at sub-MIC values. The extracts of the tested Agaricus species are a promising source of antioxidant, antimicrobial and antiquorum sensing compounds.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.130
GPT teacher head0.340
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations61
Published2015
Admission routes1
Has abstractyes

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