Probiotic and functional properties potential of lactic acid bacteria isolated from Tilapia (Oreochromis niloticus) in Ivory Coast
Bibliographic record
Abstract
Abstract The need for functional food development led to the screening of different natural sources to find new solutions. In this respect, the probiotic potential of lactic acid bacteria (LAB) isolated from the gut of Tilapia (Oreochromis niloticus) of Ivory Coast were tested, with the aim to be used for the fish farming feed. The selection tests focused on antibacterial activity, antibiotic susceptibility, biofilm forming ability, hemolytic activity, tolerance to bile salts, tolerance to pepsin and acid pH, hydrophobicity, antioxidant activity and behaviour under freeze-drying conditions. LAB were identified by PCR (Polymerase Chain Reaction) amplification followed by sequencing. A total of 154 LAB was isolated, 12 isolates were selected as potential probiotics. Molecular identification of these isolates selected belonged to Pediococcus acidilactici, Pediococcus pentosaceus, Lactobacillus plantarum species with a predominance of Pediococcus acidilactici specie. Co-culture such as probiotic LAB will be part of fish feeding, to will provide healthier and enriched food for the human consumption.
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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".