Assessing synergistic effect of Jerusalem Artichoke juice and antioxidant compounds on enhanced viability and persistence of<i>Bifidobacterium</i>species, palatability, and shelf life
Bibliographic record
Abstract
Abstract Commercial vegetable and fruit juices with probiotics are new functional type of beverages; however, limitations including persistence and impact of probiotic bacteria on palatability and shelf life may prevent their industrial development. This study evaluated the effect of antioxidant compounds (ascorbic acid, astaxanthin, and ginseng) on viability and persistence ofBifidobacteriumspp. in Jerusalem Artichoke (JA) juice; and determine the impact of these antioxidants on the sensory (color, texture, flavor, acidity) properties, free reducing sugar (inulin and fructose), and shelf life in the fortified JA juice. Overall, the JA juice fortified with ascorbic acid showed a significant impact on the rate of persistence of two targeted bifidobacterial strains from 1 to 28 days at 5°C. Both strains produced slight acidity in ascorbic acid fortified JA juice as compared to other tested samples. Similarly, the JA juice fortified with ascorbic acid showed a significantly high increase in the total number of bifidobacterial cells of both species, enhanced palatability, and shelf life as compared to astaxanthin and ginseng extract. The quadratic model indicated a strong association between ascorbic acid, ginseng extract, and astaxanthin with a bifidobacterial cell concentration in the fortified JA juices. The Box–Behnken design was considered a feasible analysis for describing fortified JA juice and the rate of viability and persistence of bifidobacteria during 28 days of storage at 5°C in all trials. In conclusion, JA juice fortified with ascorbic acid showed a significant impact on improving the cell viability and persistence of probiotic bacteria, enhanced palatability, and shelf life as compared to other compounds tested.
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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) | 0.001 | 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".