Sabugo de milho e carvão ativado na produção de Lacase e Basidiomas de Pleurotus sp
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".