Bibliographic record
Abstract
The adaptation of the production of γ-decalactones from submerged fermentation (SmF) to solid state fermentation (SSF) by Yarrowia lipolytica was investigated in this work. First of all, different solid matrices (corncob, cellulose sponge, luffa sponge, and castor seeds) were used for the first adaptation of the production of γ-décalactones. Luffa sponge appeared to be the most interesting solid support on which lactones were produced in higher concentrations than in the other solid matrices used. Then, the production of lactones using luffa sponge as the solid support was carried out in three types of SSF reactors to monitor different aeration conditions (without aeration, with a static aeration and with a forced aeration). A 5 g/L-high concentration of hydroxy-lactone was detected in the condition of static aeration using wide-mouth Erlenmeyer flasks. Furthermore, a concentration of lactones was stripped when forced aeration was used during the production using mini-reactors. To calculate the total production of lactones in this case, a mathematical model was used to evaluate the losses. Moreover, a novel alternative process using oxygen-enriched air (20%, 30%, 40% and 50%) was employed to study the effect of oxygen on β-oxidation in Y. lipolytica. In this part, the results showed that oxygen is required for hydroxy-lactone production and γ-decalactone degradation but not for the last step of production of this latter lactone. In the last part of this work, the effect of water activity (Aw) was preliminary studied on growth in agar medium, and for growth and lactone production in SmF.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".