Fermentative Capacity of Three Strains of Lactobacillus Using Different Sources of Carbohydrates: In Vitro Evaluation of Synbiotic Effects, Resistance and Tolerance to Bile and Gastric Juices
Bibliographic record
Abstract
<p>A fermentation study of three probiotic <em>Lactobacillus</em> strains was conducted on individual carbohydrates including glucose (GLU) high methoxy pectin (HMP), sugar beet pectin (SBP), fructooligosaccharide (FOS), galactooligosaccharide (GOS), and inulin agave (IA) as the sole carbon sources. It was observed that <em>Lactobacillus bulgaricus </em>(LB), <em>Lactobacillus casei</em> (LC) and <em>Lactobacillus delbruckii</em> (LD) achieved the highest growth rates when they were grown in the presence of GLU, FOS, and IA, but LB had a slower growth rate in these substrates compared to LC and LD. Only LC had a statistically significantly higher growth rate in GOS than in the basal medium which contained no carbohydrate source. Exposure to bile caused a significant reduction of log colony forming units/ml of all 3 strains, with LD grown in HMP exhibiting the highest survival followed by LC and LD grown in GLU, and LD grown on IA. Although HMP was not fermented by the test organisms, results indicate that HMP may in fact help certain probiotic bacteria to survive exposure to bile. Exposure to simulated gastric juices indicated that the studied <em>Lactobacilli</em> are tolerant to simulated gastric juice.</p>
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".