Viability of Probiotic Bacteria during Refrigerated Storage of Commercial Probiotic Fermented Dairy Products Marketed In Jordan
Bibliographic record
Abstract
Objectives: The study aimed to measure the viability of probiotic bacteria in different probiotic fermented dairy products marketed in Jordan during their shelf lives. Methods: Ten products which were all known commercial probiotic fermented dairy drinks were purchased from main market stores at 0 day of processing, and kept under 4oC for the assigned time intervals (1, 7, 14 day). These products included 7 stirred yogurt Activia, Activia low-fat, Actimel, Baladna, Acti-Yogho, Moffedo, and Vital, and 2 set yogurt (Activia - apricot and peach, Activia light – strawberry) and one stirred yogurt (Activia- stirred). Samples were tested for probiotic count at those intervals in an unopened refrigerated bottles. Sensory evaluation using hedonic scale was carried out on the above products in an unopened package at the same indicated intervals. Morphology of probiotic bacteria in commercial products was also confirmed microscopically.Results: The results of the viability of probiotic counts in log10 remaining above 7 log until the end of shelf life (14 d) except for four products including Moffedo, vital, Activia set yogurt light – strawberry, and Activia (stirred yogurt) which decreased to 3.4, 4.9, 5.0, and 5.0 respectively at the end storage period. The pH for all products until the end of the study were between 4.1- 4.5. The best average of all sensory characteristics using hedonic scale (8.3) was for Actimel, whereas the lowest (7.1) was for both Moffedo and Activia set yogurt- Apricot and peach.Conclusion: The counts of probiotic bacteria in fermented dairy products is not always above the therapeutic dose of 6.0 log cfu/g, which urge governmental authorities to establish a standard related to these products.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".