Determination of Flavonoid and Polyphenol Compounds in Viscum Album and Allium Sativum Extracts
Bibliographic record
Abstract
Ethnopharmacology is a new interdisciplinary science that appeared in Europe of the 90, in France, as a necessity claimed by the return to the traditional remedies of each nation. The aim of this study is to identify and quantify the active ingredients of the species Viscum album and Allium sativum, in order to provide a complex chemical characterisation, which is necessary for the use of these plants extracts as natural ingredients in the pharmaceutical industry. The following methods were used: (1) the plant material was harvested from the west-side of Romania (Europe) in July 2014; (2) it was dried quickly and the main active principles were extracted using ethylic alcohol solution (50%); (3) the quantitative analyses of the flavonoids and polyphenols were performed according to a procedure described in the Romanian Pharmacopoeia. FT-IR results showed that the Viscum album extract had the highest content of polyphenolic compounds, for both flavonoids and polyphenols. This is the reason why it can be concluded that alcoholic extracts of mistletoe must be used as supplements for diabetics who require diets with flavonoids or for patients with cancers, degenerative diseases, and particularly cardiovascular diseases, who need an increased amount of polyphenols.DOI: http://dx.doi.org/10.3329/icpj.v4i5.22861 International Current Pharmaceutical Journal, April 2015, 4(5): 382-385
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".