Enrichment of<i>Bifidobacterium longum</i>subsp.<i>infantis</i>ATCC 15697 within the human gut microbiota using alginate-poly-<scp>l</scp>-lysine-alginate microencapsulation oral delivery system: an<i>in vitro</i>analysis using a computer-controlled dynamic human gastrointestinal model
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study evaluates alginate-poly-L-lysine-alginate Bifidobacterium longum subsp. infantis ATCC 15697-loaded microcapsules to enrich the human gut microbiota. The cell survival of alginate-poly-L-lysine-alginate microencapsulated B. infantis ATCC 15697 in gastric acid, bile, and through human gastrointestinal transit was investigated, as well as the formulation's effect on the gut microbiota. Results show that microencapsulation increases B. infantis ATCC 15697 cell survival at pH1.0 (33.54 ± 2.80% versus <1.00 ± 0.00%), pH1.5 (41.15 ± 2.06% versus <1.00 ± 0.00%), pH2.0 (60.88 ± 1.73% versus 36.01 ± 2.63%), pH3.0 (75.43 ± 1.23% versus 46.30 ± 1.43%), pH4.0 (71.40 ± 2.02% versus 47.75 ± 3.12%) and pH5.0 (73.88 ± 3.79% versus 58.93 ± 2.26%) (p < 0.05). In addition, microencapsulation increases cell survival at 0.5% (76.85 ± 0.80% versus 70.77 ± 0.64%), 1.0% (59.99 ± 0.97% versus 53.47 ± 0.58%) and 2.0% (53.10 ± 1.87% versus 44.59 ± 1.52%) (p < 0.05) (w/v) bile. Finally, daily administration of alginate-poly-L-lysine-alginate microencapsulated B. infantis ATCC 15697 in a human gastrointestinal model induces a significant enrichment of B. infantis within the ascending (184.51 ± 17.30% versus 53.83 ± 17.82%; p < 0.05), transverse (174.79 ± 25.32% versus 73.17 ± 15.30%; p < 0.05) and descending (94.90 ± 25.22% versus 46.37 ± 18.93%; p > 0.05) colonic microbiota.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it