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Sabugo de milho e carvão ativado na produção de Lacase e Basidiomas de Pleurotus sp

2012· article· pt· W1632852977 on OpenAlexaff
Magali Regina, Luzia Doretto Paccola-Meirelles, Aneli M. Barbosa‐Dekker, Ismael Rodrigues Amador, Gisele Maria Andrade-Nóbrega, Diego Carlos Maschiare

Bibliographic record

VenueSemina Ciências Agrárias · 2012
Typearticle
Languagept
FieldMedicine
TopicFungal Biology and Applications
Canadian institutionsLakehead University
Fundersnot available
KeywordsPleurotus eryngiiPleurotus ostreatusMushroomPleurotusFood scienceLaccaseChemistryLiquid mediumRaw materialSolid-state fermentationStrain (injury)HorticultureBiologyFermentationBiochemistryEnzymeChromatography

Abstract

fetched live from OpenAlex

Corn cob as a lignocellulosic feedstock could be a viable option for edible mushroom production by fungi of the genus Pleurotus considering that there are enormous amounts of this agricultural waste in the State of Parana, as well in the whole Brazil territory. This work evaluated three strains of Pleurotus sp., Pleurotus ostreatus (white and CCB), P. Eryngii (salmon), as laccase producers using liquid extract of corn cob, and solid medium based on corn cob without adding other nutritional sources. A strain of Pleurotus ostreatus (white) produced the highest titres of laccase in liquid medium (1.2 U L-1) and also on solid medium (~ 2.8 U kg-1) among the three strains evaluated. The additon of active charcoal increased the biological efficency (30.3 %) of P. eryngii (salmon) when compared in its absence (12.7 %). However, the strain of P. ostreatus (white) did not present statistical difference among the treatments demonstrating that the addition of active charcoal to the solid medium for mushroom production can promote an increase in the biological efficiency depending upon the fungal strain used.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.026
GPT teacher head0.296
Teacher spread0.270 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2012
Admission routes1
Has abstractyes

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