Optimization of lipolysis variables of tengkawang seed fat (illipe butter) using frangipani resin derived lipase
Bibliographic record
Abstract
Abstract This study aimed to determine the optimum conditions for the lipolysis of tengkawang fat using lipase derived from frangipani resin to produce free fatty acids, which, particularly stearic acid, serve as key intermediates in various industrial applications. A 2 (4–1) fractional factorial design was used to screen the effects of pH, temperature, enzyme concentration, and buffer‐to‐fat ratio on the degree of lipolysis. The 5‐h reaction yielded a reaction mass of 43.35% of free fatty acids. ANOVA results revealed that pH, enzyme concentration, and their interaction were significant, with curvature present at the centre point. Optimization was then conducted using response surface methodology (RSM) with a face‐centred central composite design (FCCCD). The highest degree of lipolysis achieved was 89.54% under the conditions of pH 7, temperature 27°C, enzyme concentration 10%, and a buffer‐to‐fat ratio of 2:1. Time profile observations showed that the lipolysis reaction proceeded slowly, reaching 89.53% at the end of 24 h.
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 | 0.000 |
| 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".