Selection of folate-producing lactic acid bacteria for improving fermented goat milk
Bibliographic record
Abstract
Goat milk is a complete food but its low level of folic acid diminisches its nutritional efficacy. In this study, Streptococcus thermophilus, Lactobacillus delbrueckii subsp. bulgaricus, Lb. delbrueckii subsp. lactis and Lb. helveticus strains were selected for folate production in goat milk to improve its quality. A suitable HPLC method was developed to directly determine both total folate and its biologically active derivatives such as 5-methyl-tetrahydrofolate (5- \nCH3-H4-PteGlu), tetrahydrofolate (H4-PteGlu) and 5 formyl-tetrahydrofolate (5-CHO-H4-PteGlu). Results showed that S. thermophilus, Lb. delbrueckii subsp. lactis and Lb. helveticus strains produced higher amounts of total folate than Lb. delbrueckii subsp. bulgaricus, especially 5-CH3-H4-PteGlu and H4-PteGlu. Moreover the use of selected S. thermophilus strains in association with Lb. delbrueckii subsp. bulgaricus resulted in yoghurt with a significant quantity of folate and good organoleptic features.
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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 | 0.001 | 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".