Temperature control for microwave vacuum drying of raspberries
Bibliographic record
Abstract
In order to optimize the microwave vacuum drying of raspberries, the temperature variation of different constant power microwave vacuum conditions was investigated. The conventional microwave vacuum drying (MVD) and the three different steady temperature control scheme was selected. A microwave intermittent vacuum drying scheme (MIVD), microwave vacuum drying power curves control scheme (MVD-T), and microwave vacuum drying power curves with intermittent control scheme (MIVD-T) were developed and conducted. As shown, temperatures under control schemes were all kept at more moderate ranges compared to constant power, where MIVD-T showed less fluctuation by adopting power curve changing with time as input variable. It was found that temperature control schemes could improve the appearance, as MVD-T and MIVD-T both reduced carbonization on the exterior and interior of raspberries. For antioxidant properties, there were differences between different schemes, in which MIVD-T could maintain more total monomeric anthocyanin (TMA) compounds and keep other antioxidant compounds similar to other drying methods. Control schemes such as MIVD, MVD-T, and MIVD-T were effective in obtaining more steady temperature materials than conventional microwave vacuum drying and were beneficial for drying quality.
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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".