Pulsed Electric Field Effect Pretreatment on the Behavior of Microwave-assisted Pomegranate Arils (Punica granatum L.) Hot air Drying
Bibliographic record
Abstract
Abstract Pulsed electric field treatment is a new, non-thermal pretreatment method that preserves foods forexcellent sensory, nutritional and long-life quality. In this study, the impact of pulsed electric field pretreatment on drying kinetics and the quality of dried pomegranate arils was evaluated. The pomegranate arils samples were subjected to pulsed electric field treatment at different intensities of the electric field of 0.5, 1 and 1.5 kV/cm with application of exponentialpulses of 700 µsduration followed by Microwave-assisted Hot air drying. the samplesweredried at 50, 60 and 70°C with a drying times varying from 65 to 190 minutes, while, for untreated arils, the drying time was varying from 90 to 250 minutes. The highest water diffusion coefficient of 8.25 × 10− 8 m2/s was calculated for samples subjected to electric field intensity of 1.5 kV/cm and 70°C treatment temperature. The greatest Hardness was 39.35 ± 4.81 N. The pulsed electric field arils treatments resulted in better electroporation ofthe tissues. The Pulsed electric field -treated dried arils had higher red (a*) and yellow (b*) and (L*) values compare to untreated dried arils.These dried arils are characterized by a high content of total polyphenols 3350.28 mg GAE/kg DM and high antioxidant capacity (0.6 mg eqTrolox g− 1).The drying kinetics were modeled by different models. The models that best fit the drying data was Midilli et al., followed by Logarithmic and modified logistic model.
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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".