Screening of Microorganisms and Raw Materials for Lipase Production by Solid-State Fermentation
Bibliographic record
Abstract
The production of biodiesel from vegetable oils using eco-friendly processes is a hot topic actually. These processes are based on enzymatic biocatalysts, namely lipases, and present many advantages over classical processes i.e. they do not require the use of sodium hydroxide, nor huge quantities of water. Lipases are widespread in nature, being produced by many microorganisms. However, fungal lipases have benefits over bacterial lipases due to their low cost of production, thermal and pH stability, substrate specificity and activity in organic solvents. These low cost production processes rely, most of the time, on solid-state fermentation (SSF). The aim of this research was to select microorganisms for their ability to secrete lipolytic enzymes and to grow on a solid support compatible with SSF. Thirty-five yeast and mold strains were tested in term of growth rate and extracellular lipase production. Different solid support such as vermiculite, crushed wheat husk, cacao seed-husk and carbon sources such as soy oil, sunflower oil, olive oil or sucrose were also tested for their ability to support cell growth and lipase production.
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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 | 0.001 | 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) | 0.000 | 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".