Effects of cashew (Anacardium occidentale L.) gum and chitosan coating on the physico-functional properties and shelf life of chicken eggs stored at room temperature
Bibliographic record
Abstract
To investigate how cashew gum and chitosan coatings influence shelf life and the physico-functional properties of chicken eggs stored at room temperature (29 °C), compared with uncoated eggs. A total of 960 eggs (52-week-old Shaver Brown) were randomly assigned to four treatments: chitosan, cashew gum, mineral oil (positive control), and uncoated (negative control). Eggs were stored at 29 °C, and internal quality parameters (weight loss, Haugh unit, yolk index, yolk color, air cell depth, albumen pH, yolk pH), functional properties (gelling, foaming, rheology), and microbiological safety (total viable aerobic plate count) were assessed weekly for six weeks. Data were analyzed using a Completely Randomized Design, with means compared by Least Square Means Test (α = 0.05). Coated eggs exhibited better preservation of internal quality compared to uncoated eggs. Mineral oil performed the best while cashew gum and chitosan coatings performed closest to it, maintaining higher Haugh unit, yolk index, and yolk color values. Uncoated eggs showed the highest weight loss and air cell depth while the lowest weight loss was recorded by mineral oil coated eggs. No significant differences (P > 0.05) were observed in functional properties among treatments. Microbiological analysis confirmed all coated eggs remained safe for consumption throughout storage. Sensory evaluation indicated comparable acceptability, except for surface glossiness in cashew gum-coated eggs. Cashew gum (CG) is an effective, low-cost alternative to mineral oil (MO) for preserving egg quality during room-temperature storage, performing comparably to MO and superior to chitosan (CH) and uncoated treatments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".