High-energy cookies for undernourished adolescents: In vivo rat assay of protein quality and evaluation of storage conditions on cookies shelf-life
Bibliographic record
Abstract
The present investigation studied the protein quality of cookies developed for undernourished adolescents, following the storage stability of the cookies in different packaging materials and storage conditions. A total of 18 Sprague Dawley rats were divided into three groups (G1, G2, and G3) and each group was fed with a control diet, protein-free diet and cookies for 28 days, respectively. The Biological Value (BV), Net Protein Utilization (NPU), Protein Efficiency Ratio (PER) and True Protein Digestibility (TPD) were calculated. The developed cookies were packed and sealed in sterile Low-density polyethylene(LDPE) pouches and Metalized Polyester (M-PET) pouches. The packed cookies were stored at ambient conditions (24–27 ºC; 70–75% relative humidity (RH)) and accelerated conditions (37 ºC and 90% RH) for 90 days and analyzed for water activity, moisture content, color, texture, lipid oxidation and amino acid analysis. G3 groups provided with high-energy cookies recorded higher digestibility values and better PER, indicating that the product has better digestibility and good quality of protein and improves the growth of undernourished adolescents. Developed cookies packed in M-PET pouches under ambient conditions showed more effective quality retention with good texture, less lipid oxidation, better color and amino acid.
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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) | 0.001 | 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 | 0.001 |
| 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".