Predicting the Shelf Life of Cup Chocolate Using the Arrhenius Model Based on Peroxide Value
Bibliographic record
Abstract
The shelf life of a food product is a limited period of time after production and packaging, during which it maintains the necessary and acceptable level of quality for final consumption.The aim of the research was to predict the shelf life of chocolate packaged in two bilaminated containers with respect to peroxide value, using accelerated testing and constant relative humidity.The peroxide value was evaluated by potentiometric titration.The order of the reaction was defined and with the Arrhenius model the degradation rate constant was found for each container and temperature of study.Shelf life was determined with the kinetic equation of oxidation compound formation at 5, 20 and 35℃ at 217, 114 and 64 days for the 20 microns (μ) packages, and 114, 95 and 81 days for the 50 μ packages respectively.It is concluded that the 20 μ packaging between a storage temperature of 15 and 18℃ is the suggested packaging with a shelf life between 141 and 124 days.The results would enable those working in the chocolate manufacturing and packaging industry to take the temperatures and types of packaging studied as a reference in their production.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 | 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".