Odd Chain Phenolic Lipids in Liposomes as a Delivery System in Food using High Power Ultrasound
Bibliographic record
Abstract
Odd chain phenolic lipids have gained interest due to their functionality in food and pharmaceuticals owing to their bioactivity, amphiphilic properties, and use for encapsulation and drug delivery.Alkylresorcinols (ARs) are the most studied and found in high concentrations in wheat bran.In parallel, high power ultrasound (US) is an emerging green non-thermal technology with many applications in food.This research aimed to investigate the use of US to extract crude ARs from wheat bran and potential applications for preparation of liposomal solutions for the production of emulsion-filled gels (EFGs) for delivery of functional ingredients and fat reduction in a margarine model system.US proved to be an efficient method of extraction of crude ARs from wheat bran, reducing traditional extraction time from 24 hr to 30 min.Crude ARs and US were then used to develop functional EFGs from US prepared liposomal solutions which were characterized using polarized-light microscopy (PLM), water activity, textural analysis, rancimat, and differential scanning calorimetry (DSC).US and crude ARs improved microstructure, hardness, and oxidative stability of the margarine model system.
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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) | 0.001 | 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".