Self-Assembled Nanostructures of Oleic Acid and Their Capacity for Encapsulation and Controlled Delivery of Nutrients
Bibliographic record
Abstract
A simple preparation method for a nutrient delivery system is presented using nanostructures of oleic acid embedded in canola oil by a two step synthesis procedure. Oleic acid nanostructures in the form of micelles and vesicles were initially prepared and their ability to encapsulate vitamin-C, used as a model nutrient, was evaluated. Dynamic Light Scattering (DLS) analysis and Transmission Electron Microscopy (TEM) confirmed the formation of micelles and vesicles with diameters of 150 nm and 540 nm respectively. Supramolecular structural transformations were observed at specific temperatures, and coincided with the release of a considerable amount of encapsulants followed by a controlled and time bounded release. UV-Vis spectroscopy and various other thermochemical analytical techniques were employed to illustrate the structural transformations and specific environmental stimuli-responsive release of encapsulated materials. The nutrition-enriched nanostructures were successfully transferred to canola oil and the physico-chemical properties evaluated.
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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".