Effects of High Power Ultrasonic Pretreatment on Physicochemical Quality and Enzymatic Activities of Dried Longan
Bibliographic record
Abstract
The physicochemical quality and inactivation of polyphenol oxidase (PPO), peroxidase (POD) in dried longan with high power ultrasonic pretreatment was investigated. Effect of high power ultrasonication was compared with a traditional chemical pretreatment with potassium metabisulfite and non-pretreatment. Chemical qualities, such as aw, MC, TSS, and TA of the ultrasonic pretreated dried longan samples were significantly lower than those of the control samples (P£0.05), whereas their pH were higher than those of the control samples. Increase in ultrasonication time resulted in decreases of aw, MC, TSS, and TA, but an increase of pH. The firmness, lightness (L*), and yellowness (b*) values increased and redness (a*) values decreased when the sample was pretreated with increasing ultrasonication time. The application of high power ultrasonic pretreatment for 10, 20, and 30 min could reduce PPO activity by 49.99%, 57.18%, and 70.68%, and POD activity by 47.63%, 86.16%, and 94.06%, respectively. The PPO and POD activities were significantly decreased with increasing ultrasonication time. Panelists were most satisfied with sensory properties of the dried longan with 30 min of high power ultrasonic pretreatment.
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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".