An Assessment of Total Polyphenolic Content and Antioxidant Potential of Mauby Bark Extracts (Colubrina arborescens) Brewed for Different Lengths of Time
Bibliographic record
Abstract
Mauby bark (Colubrina arborescens) is commonly used to make a beverage,“Mauby”, in the Caribbean and is believed to possess antiglycemic, antilipidemic, and anticarcinogenic properties. However, limited studies have been conducted to substantiate the compounds present that may confer these benefits. Therefore, the objectives of this research were to quantify the total polyphenolic content and evaluate the antioxidant capacity of Mauby bark extracts brewed in water at 30, 45, and 60 minutes. In the extracts, the Total Flavonoid Content (TFC) ranged from 1.93 - 3.17 mg CE/mL and the Total Phenolic Content (TPC) ranged from 2.10 mg ± 0.11 GAE/mL (45 minutes) - 2.36 mg ± 0.067 GAE/mL (30 minutes). Moreover, their antioxidant activity was assessed using the 2,2 Diphenyl 1-Picrylhydrazyl (DPPH) and Ferric Reducing Antioxidant Power (FRAP) assays. The DPPH scavenging activity observed from Mauby extracts ranged from 75% ± 4.02 (30 minutes) to 83% ± 0.66 (60 minutes) and the FRAP values ranged from 6.29± 0.84 (30 minutes) to 6.90 ± 1.54 mM FeSO4 equivalents/ 0.2 mL Mauby extract (45 minutes). Although, polyphenolic content at 30 minutes was greater than 60 minutes of brewing for TFC (p < 0.001) and TPC (p = 0.002), the scavenging activity was greater at 60 minutes than 30 minutes (p = 0.014) while antioxidant power was not affected by brewing time (p = 0.736). In summary, brewing the bark at 60 minutes was observed to provide the highest antioxidant activity.
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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) | 0.000 | 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".