Screening of <i>Bifidobacterium</i> spp. based on <i>in vitro</i> growth responses to bovine lactoferrin
Bibliographic record
Abstract
Summary In the present study, we investigated the in vitro growth responses of fourteen strains of four Bifidobacterium spp. (Bifidobacterium infantis, B. breve, B. bifidum, B. longum) against bovine lactoferrin (bLf) at various concentrations. Bacterial strains were grown in deMan, Rogosa and Sharpe (MRS) broth with or without bLf, and growth was monitored by measuring absorbance at 660 nm. A dose‐dependent and strain‐dependent growth response was observed. Bifidobacterium spp. were ranked into high, medium and low according to their calculated relative growth response levels against lactoferrin (Lf). Strains showed better growth responses against holo‐type Lf. However, no inhibitory effects at high concentrations (4 mg mL−1) or with apo‐type Lf were observed. These results strongly suggest that the growth response of Bifidobacterium spp. against bLf may be a selection criterion for their use in fermented products. In addition, use of holo‐type Lf in fermented food products may be more effective for probiotic growth, and could also be used as a source of iron to the host.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".