Application of immobilized <scp> <i>Burkholderia cepacia</i> </scp> lipase on clay in the production of ethyl esters
Bibliographic record
Abstract
Abstract The present work aimed to use commercial Spectrogel clay (type C) as a support for immobilizing Burkholderia cepacia lipase to produce ethyl esters. The highest yield in ethyl ester production was obtained under the following conditions: 1% water (kg kg −1 oil), oil‐to‐ethanol molar ratio of 1:3, and 15% immobilized biocatalyst (kg kg −1 oil). A kinetic assay was conducted under the optimal conditions obtained to validate the experiment, which already showed a high yield within 6 h (78.82 ± 2.28% for LBC‐ADS and 89.42 ± 2.65% for LBC‐CB) and reaction equilibrium in 18 h (84.76 ± 0.36% for LBC‐ADS and 98.05 ± 1.24% for LBC‐CB). Heterogeneity tests were conducted at 1 and 12 h of reaction to analyze the interaction between the support and the enzyme, showing that after the removal of the biocatalysts after 1 h of reaction, there was no significant release of enzymes into the reaction medium.
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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) | 0.000 | 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 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".