Dielectric heating‐assisted disinfestation of black gram and its effect on protein profile: A comparative study on radio frequency and microwave heating
Bibliographic record
Abstract
Abstract Pulse beetle, Callosobruchus maculatus , is the major pest infesting in the stored legumes. The present study is aimed to evaluate the comparative efficacy of radio frequency (RF) and microwave (MW) heating treatments to eradicate the problem of infestation at all four life stages in blackgram ( Vigna mungo ). Infested blackgram kernels in a single egg, larvae, pupae, and adult stage were subjected to RF and MW irradiation at 180‐, 190‐, 200‐, and 210‐mm electrode heights for RF and at 365, 295, 250, and 230 W MW power. The lethal time for 99.99% mortality (LT 99.99 ) was found to be 3.62 to 8.23 min for the egg stage, 4.70 to 7.27 min for larvae, and 7.10 to 8.96 min for pupae, and 5.40 to 7.73 min for adults. For MW heating treatment, the time for complete mortality of the single egg stage, larvae, pupae, and adult was found to be in the range of 5.33 to 7.83, 8.28 to 9.82, 8.87 to 10.68, and 8.86 to 10.18 min, respectively. The pupa stage was found to be the most heat tolerant in comparison with other life stages. The MW‐treated blackgram samples depicted a significant decrease in the lysine, aspartic acid, and proline content as compared with RF‐treated samples. This suggests a negative effect of the MW on the amino acids which in turn led to its deterioration. Therefore, the RF heating holds potency to disinfest legumes without affecting the major properties of legumes which was the major drawback of using the MW heating.
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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".