Improvement of cloud stability, yield and β-carotene content of carrot juice by process modification
Bibliographic record
Abstract
This study investigated the effects of three processing factors, acid blanching, centrifugation and dynamic high pressure homogenization, on cloud stability of carrot juice. Results indicated that the optimum processing condition for stabilized carrot juice were with dynamic high pressure homogenization at 100 MPa combined with 2% citric acid blanching at 95-100 for 2 min followed by 2000 r/min centrifugation for 10 min. The improvement of juice yield was also investigated using a pre-treatment of three commercial enzymes: Pectinex 3XL® (pectinase), Celluclast 1.5 L® (cellulase) and Novozyme 188™ (β-glucosidase). The combination of 0.1 g/kg of Pectinex 3XL®, 0.1 g/kg of Celluclast 1.5 L® and 0.1 g/kg of Novozyme 188™ at 50 and pH 4.0 for 90 min was the most effective condition to improve carrot juice yield from 49% to 67%. The enzymatic treatment increased juice total soluble solids from 7.5 to 8.9°Brix and β-carotene content from 21.4 to 33.7 mg/kg.
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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 | 0.001 |
| 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".