Induction and production of specific extracellular lipases from selected microorganisms
Bibliographic record
Abstract
Induction of extracellular lipases from Pseudomonas fragi CRDA 037 and Geotrichum candidum was used to increase lipase production in a shorter period of time. Induction was performed using edibles oils such as olive oil, canola oil, fish oil and butter fat. Fermentation trials of the microorganisms in the selected media were done in order to optimize the production of lipases. Optimal lipase activity was obtained in the presence of butter fat (1%, v/v) for P. fragi which was cultivated at 15°C during 48 h, and fish oil (0.75%, v/v) for G. candidum incubated at 27°C for 56 h. The induced lipase extracts of P. fragi and G. candidum obtained after these fermentation trials were purified by 3.7 and 5.9-fold respectively using ultrafiltration, while the non-induced fractions were purified by 2.3 and 5.1-fold, respectively. Activities were evaluated using p-nitrophenyl esters such as p-nitrophenyl laurate and p-nitrophenyl palmitate. (Abstract shortened by UMI.)
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".