Lipase immobilisation in matrix comprised of gelatin of different bloom numbers with the addition of hydrophilic plasticisers
Bibliographic record
Abstract
Gelatin is a low value water‐soluble protein which has the ability to form gels and its use with the addition of plasticisers has been studied in the development of biofilms. Many studies show the use of gelatin in high concentrations agent immobilisation successfully, however, most of these do not show the Bloom value of the gelatin used. In this study, lipase immobilisation in gelatin of different Bloom values with the addition of hydrophilic plasticisers, glycerol and mannitol was investigated. Mannitol showed higher efficiency for lipase immobilisation in more uniform pore structures. The immobilisation stability was affected by the pH, temperature and agitation conditions, and the matrices E8‐280‐M (corresponding to experiment 8, 280 Bloom gelatin and mannitol) and E9/10‐280‐M (corresponding to experiment 9 and 10, 280 Bloom gelatin and mannitol) were the most stable. In the hydrolysis of olive oil, the enzymatic activity of free and immobilised lipases was studied in relation to temperature, pH and time, and 42°C was found to be the optimal temperature for both forms of lipases. In terms of activity, for free lipase, the optimum pH was 7.0, for lipase immobilised in E8‐280‐M it was between 5.5 and 7.5 and for lipase immobilised in E9/10‐280‐M the optimum range was 6.5 and 7.5. Ten reuse cycles were possible, and by the 5th cycle the lipase immobilised in E8‐280‐M showed 77.66% of the initial activity. The highest retention of activity during storage was observed for the lipase immobilised at 25°C in the E8‐280‐M matrix.
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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 | 0.000 | 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 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".