Isolation and Characterization of Probiotic Strains from Garcinia mangostana (Mangosteen) for Nutraceutical Applications
Bibliographic record
Abstract
Introduction: The present study concerns the isolation and characterization of Lactic acid bacillus sp. (LAB), isolated form fresh Magosteen fruit pulp. Lactic acid bacteria sp. (LAB) are an important source of bioactive metabolites and enzymes. This research aimed to isolate and identify potential probiotic strains from Mangosteen, scientifically known as Garcinia mangostana, is a tropical fruit native to Southeast Asia and comprehensively characterize their functional properties for potential nutraceutical applications. Methodology: Gram staining and biochemical analyses were conducted to assess the microbial characteristics and identify the isolates. The strains were further evaluated for their probiotic potential, including resistance to gastric acidity, bile tolerance, and adhesion to intestinal epithelial cells. The isolated strain was evaluated for isolation and purification on MRS plates, Gram staining, Catalase test, and morphological examination under microscope, Biochemical test such as IMVIC, starch hydrolysis, carbohydrate fermentation. Antimicrobial activity of cell-free supernatants from presumptive LAB isolates was evaluated by centrifugation against Gram-positive, Gram-negative, LAB, mold, and yeast strains. Results: Thirty-seven colonies isolated and characterized from the culture plate and all were gram positive, catalse negative, and nine isolates showed the most potent lactic acid bacillus strain characteristics. Overall, Lactic Acid Bacillus sp. isolated from fruit showed potential technological applications and should be further evaluated.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".