Fatty Acid Composition, Acetylcholinesterase and Bacterial Inhibition by Inga cinnamomea Pulp
Bibliographic record
Abstract
Inga cinnamomea, a species from Fabaceae family, posses a convex-cylindrical fruit that has a white, slightly sweet, edible pulp, which is very appreciated in Brazil. The present study seeks to expand the knowledge about this fruit. The vegetable oil of the fruit’s pulp, extracted in a Soxhlet extractor using hexane as solvent, was studied. Fatty acids were determined, after oil hydrolysis and methylation, using gas chromatography with flame ionization detector (GC-FID). Additionally, the oil was tested to determine its potential as acetylcholinesterase inhibitor using Eserine as positive control. Bactericidal potential of the oil was also determined. Both assays were accomplished using Elisa spectrophotometer. Eight major fatty acids were detected in the following concentrations: linoleic (ω6) (31.7%), palmitic (26.2%), linolenic (ω3) (13.6%), oleic (ω9) (12.5%), stearic (6.5%), palmitoleic (ω7) (2.0%), myristic (0.6%) and arachidic (0.6%) acids. The oil inhibitory activity towards acetylcholinesterase enzyme was 54.81%, being classified as a potent effect. Finally, the oil presented a modest inhibitory activity against the following bacterial strains: Staphylococcus aureus (24.68%), Citrobacter freundii (20.46%), Listeria monocytogenes (27.26%) and Pseudomonas aeruginosa (26.89%).
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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".