Ionizing irradiation post-harvest processing of chestnuts: effects of gamma and e-beam technologies on physico-chemical parameters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Chestnut fruit must be postharvest treated to meet the international fitossanitary regulations during exportation. Chemical fumigation with methyl bromide was the most common practice for elimination of insects in those fruits. Nevertheless, it is a toxic product for the operators and was recently banned by the european legislation (March 2010), following the international recommendations of Montreal Protocol on ozone depleting substances. Therefore, it becomes essential to find alternative preservation methodologies. Irradiation might be a good alternative; its use by several industries on different food products could confirm the viability of such treatment in chestnut fruits. The effects of storage time (0 and 30 days at 4 oC) and irradiation dose (gamma and e-beam) up to 3 kGy on physico-chemical parameters were evaluated. Those parameters included colour, texture, moisture, nutritional value, sugars, fatty acids and tocopherols [1-3]. After analysis of the results, it was observed that irradiation at up to 3 kGy did not affect the mentioned parameters, being more relevant the effects of storage time. Overall, the irradiation might be a promising alternative for post-harvest chestnuts processing, without altering the main physico-chemical characteristics. References [1] Antonio et al. Food Chem. Toxicol., 49 (2011) 1918-1923. [2] Fernandes et al. Food Chem. Toxicol. 49 (2011) 2429-2432. [3] Fernandes et al. J. Agric. Food Chem. 2011, 59, 10028–10033.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it