Separation and characterization of phenolic compounds from Terminalia ivoiriensis using liquid chromatographypositive electrospray ionization tandem mass spectroscopy
Bibliographic record
Abstract
erminalia ivoriensis A. Chev. (Combretaceae) is an Ivorian medicinal plant. There is little ethnobotanical and almost no chemical information available for this species. The aim of this study was to isolate phenolic compounds from T. ivoriensis. In this way, its ethyl acetate extract (Ea) was fractionated by silica gel column chromatography followed by Sephadex LH20 filtration. Elution solvents were methanol (MeOH), methylene chloride (Mc) and ethyl acetate (EtOAc). Analysis of the obtained fractions (F1-F4) by liquid chromatography coupled to positive electro-spray ionization tandem mass spectrometry (LC-ESI-MS/MS) afforded six known polyphenols: 1) 3,3'-di-O-methylellagic acid); 2) 3,7,8-tri-O-methylellagic acid; 3) Progallin A; 4) 3,3',4-O-Trimethyl-4'-O-β-D- glucopyranosylellagic acid; 5) Punicalagin and 6) Punicalin. All these natural products were isolated here for the first time from this plant. They presented various biological activities among which were anti-inflammatory, antioxidant and anti-HIV activities. Keywords: Terminalia, ivoriensis, LC-ESI-MS, isolation, characterization, polyphenols, activity, anti-inflammatory, antioxidant, anti-HIV.
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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 | 0.001 | 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".