Eucalyptus Oil and Lemon Grass Oil: Effect on Chemical Composition and Shelf-Life of Soft Cheese
Bibliographic record
Abstract
A study was conducted to compare the effect of different levels of Eucalyptus oil (EO) and Lemongrass oil (LO) on the shelf-life of fresh West African soft cheese (wara) in a completely randomized design model for a 28-day period (n=60). The experiment consists of Treatment A (Control, Cheese kept in the whey), Treatment B (75% EO + 25% LO) and Treatment C (50% EO + 50% LO). The results showed similarity in the evaluated parameters (Crude protein, fat and dry matter contents). The ash content was numerically highest in C (5.75%) and least in A (5.00%). The sensory properties were described by positive attributes such as high general acceptability and flavor for Treatments B > C > A. While the microbial evaluation showed least colony unit for Treatment B followed closely by C and A in that order. In conclusion, while both Eucalyptus oil 75% plus 25% lemon grass had a positive impact on the nutritional, sensory and microbial values, whey had no quality to significantly enhance the nutritional, sensory and microbial qualities of West African soft cheese.
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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".