Impact Of Ultra Sonication On Safety And Quality Characteristics Of Orange Pulp
Bibliographic record
Abstract
Fruit pulp has a huge amount of phenolic and other bioactive compounds as well as carotenoids, vitamins, andanthocyanins. They are usually processed by conventional pasteurization that allows obtaining juice pulp with a lowmicrobial count. However, the use of thermal treatments results in adverse changes in composition and loss of organoleptic attributes such as loss of aroma, color, flavor, and texture of juices. With an increasing demand for high-quality, safe, nutritious, and minimally processed pulp with fresh-like characteristics, modern fruit processing industries are looking for alternative processing. Hurdle technologies are sought to maintain the nutritional profile of the fruit pulp. The purpose of this research is to combine ultrasound and additives as a hurdle technology to preserve the quality of pulp as consumer demands for safe and nutritious products. In this research, we study the combined effects of ultrasound and their additives on the overall quality of orange pulp was investigated. The effectiveness of ultrasound treatment was enhanced with a combination of additives which enhanced the overall quality of mixed orange pulp. The physicochemical and microbiological analysis were performed. Bioactive compounds were also measured. Finally, the data obtained by analyzing quality parameters was brought to statistical analysis. A statistically significant increase was noticed in total phenolic contents and total flavonoid contents whereas a decrease in microorganisms (TPC, Y&M count) were found in all the samples. The total value of antioxidant capacity as well as DPPH radical scavenging activity both increased significantly high. Physicochemical characteristics such as pH, total soluble solids, and titratable acidity were retained, and the results were non-significant. There were also some differences in the color values. However, maximum improvement for Ascorbic acid contents was observed in the T3 treatment. The results of this study revealed that the combined treatment T3 (ultrasound and additives) produced the best results and has the ability to improve the overall quality of orange pulp and can also be employed for industrial processing
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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 | 0.001 |
| 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".