Effect of liposomal encapsulation of curcumin and α-tocopherol on sensory and physicochemical properties, and retention of antioxidant capacity of fortified cookies during baking
Bibliographic record
Abstract
Curcumin and α-tocopherol, which are potent antioxidants usable for food fortification, are sensitive to heat and air, thus showing the need for protection. The aim of this study was to increase the antioxidant capacity retention of curcumin and α-tocopherol in fortified cookies via liposomal encapsulation. Liposomes were prepared using the homogenization method and the liposomes were multilamellar according to light microscopic images. Liposomal encapsulation exhibited encapsulation efficiencies greater than 90%. The sensory tests, conducted using a 5-point hedonic scale for nine attributes, revealed that the incorporation of liposomal antioxidants did not compromise the sensory attributes of the cookies. The color of liposomal-curcumin incorporated cookie deviated greater than that of free-curcumin incorporated cookie from the regular cookie. Nevertheless, the color of the α-tocopherol incorporated cookies improved on using the liposomal compound as opposed to the free compound. The antioxidant capacity of the cookies, along with the controls, were measured using the 1,1-diphenyl-2picryl-hydrazyl (DPPH) and ferric reducing antioxidant power (FRAP) assays. As expected, liposomal encapsulation of curcumin or α-tocopherol mitigated the reduction of antioxidant capacity of fortified cookies during baking. Briefly, liposomal encapsulation proves to be a potent method for retaining the antioxidant capacity of curcumin or α-tocopherol in cookies during baking.
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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".