Microbiology of Fresh-cut Mangoes Prepared from Fruit Sanitised in Hot Chlorinated Water
Bibliographic record
Abstract
Whole mangoes ( Mangifera indica, cv. Chok Anun) were washed in water with or without chlorine (100 mg total chlorine/L) at 11.7 ºC and 50 ºC before slicing and packaging. Microbiological analysis of the whole fruit showed that the stem scar contained larger populations of microorganisms than the skin. Washing reduced populations at both sites and the effect was enhanced by the addition of chlorine and heating of the wash water. None of the treatments prevented transfer of contaminants to the flesh during slicing, and evidence of spoilage in the form of discrete fungal colonies was observed in samples stored for 1 week at 5 ºC. Several species of bacteria, yeast and mould were recovered from packaged slices, but yeast and moulds accounted for the bulk of the spoilage of microflora. Barriers to the growth of these microorganisms may be necessary to reduce the risk of microbial spoilage of mango slices manufactured under commercial conditions.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".