Adhesion Abilities of Lactobacillus Plantarum Strains Isolated from Nigerian Fermented Maize Food - Akamu
Bibliographic record
Abstract
Two strains of Lactobacillus plantarum isolated from akamu a Nigerian fermented maize food were investigated for probiotic potential based on: adhesion to hydrocarbons (hydrophobicity), porcine mucin and epithelial cell models. Gelatinase and haemolytic activities of the L. plantarum isolates were also studied. Adhesions to mono polar solvents (>22%) were significantly (p≤0.05) higher than the n-alkanes (<13%) with significant maximal affinity (35%) for chloroform an acidic solvent. The general order of affinity was chloroform > ethyl acetate > hexadecane > hexane. NGL7 had significantly (p≤0.05) the highest affinity for all the solvents. Both L. plantarum strains had significant adhesions to porcine mucin (≥6.51 Log10 CFU mL-1) after 2 h at 37oC. Viable counts on Caco-2 cells were 5.13 and 5.53 Log10 CFU mL-1 for NGL7 and NGL5 respectively. The L. plantarum strains possessed significant adhesion abilities: adhesion to hydrocarbons, porcine mucin and Caco-2 cells with no gelatinase and haemolytic activity. This suggested that the L. plantarum strains isolated from the Nigerian fermented maize food -akamu would be able to adhere to the intestinal mucosa and epithelial cells for beneficial health effects without posing any risk.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".