Isolating Miliusa velutina endophytic bacteria to generate antioxidants and optimizing culture conditions for antioxidant production
Bibliographic record
Abstract
Miliusa velutina (MV) antioxidants are being used for food or medical purposes, However, the use of the plant is limited since some Miliusa genus are endangered or critically endangered species. This study aims to find the MV endophytic bacteria that can produce the antioxidants (total phenol content (TPC), total flavonoid content (TFC), total antioxidant capacity (TAC), reducing power (RP); and ferric reducing antioxidative power (FRAP)) and their optimum fermentation condition by utilizing morphology, SEM, 16S rRNA, and CCD model. Results found that 44 endophytic bacterial strains isolated from various parts of the plant showed promising antioxidative activities, with the highest produced by Pantoea sp. MV-R3. The model indicated that 15.41 g/L of glucose in pH 7.72 at 29.19 °C for 46.54 h was the optimal fermentation condition. The maximal activities reached 89.1 % to 129.0 % compared with the predictions. The activities of TPC, TFC, TAC, RP, and FRAP were 41.54 ± 7.69, 33.18 ± 4.55, 207.36 ± 30.89, 119.55 ± 14.34, and 57.02 ± 9.15 mg per mL, respectively. Hence, the MV endophyte and its optimum fermentation condition were successfully identified.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".