Deacidification of Cranberry Juice by Electrodialysis with Bipolar Membranes
Bibliographic record
Abstract
Cranberry is recognized for its many benefits on human health; however, its high acidity may be a limiting factor for its consumption. This study aimed to investigate the deacidification of cranberry juice using a two simultaneous step electrodialysis with bipolar membranes (EDBM) process. In step 1 (deacidification), during the 6 h treatment, the pH of the juice increased from 2.47 to 2.71 and a deacidification rate of 22.84% was obtained, whereas in step 2 (pH lowering) the pH of juice 2 was almost stable. Citric, quinic, and malic acid were extracted with a maximum of 25% and were mainly transferred to the KCl 2 fraction. A significant loss of anthocyanins in juice 2 (step 2) was observed, due to their oxidation by oxygen incorporated by the centrifugal pump. This also affected its coloration. The first step of the EDBM process was successful for cranberry juice deacidification and could be improved by increasing the number of membranes stacked.
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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) | 0.000 | 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".