Effects of Ilex Paraguariensis Polyphenols on Magnesium Absortion and Iron Bioavailability: Preliminary Study
Bibliographic record
Abstract
Yerba maté (Ilex paraguariensis) is a native plant of South America widely consumed as hot infusion. It is a vegetable that has many bioactive compounds, such as caffeine, theobromine theophylline and saponins, phenolic compounds, mainly chlorogenic acids and dicaffeoylquinic acids, and minerals as Fe, Ca, K y Mg, which have many beneficial properties for the health. Polyphenols have the property of chelating the transition metals, as iron and magnesium, decreasing their bioavailability. Iron deficiency anaemia and subclinical hypomagnesemia is observed in the American population. Women at childbearing age belong to a specially vulnerable group. The aim of this work was to evaluate the "in vivo" effect of the polyphenols from yerba maté infusions, consumed in their traditional form, on the bioavailability of Fe and Mg in the diet. Eleven healhty young female volunteers participated in the magnesium and iron study. After the first blood sample was taken (time 0), the volunteers ingested 300 mL of yerba maté infusions, ferrous sulfate or yerba maté infusions plus ferrous sulfate at50 °C in no more than 5 minutes. They remained seated at a comfortable temperature throughout the study. Blood samples were taken 20, 40, 50, 60, 80, 100 and 120 minutes after ingestion.The yerba maté infusions prepared in their traditional form of “hot maté”, which containining an average of 4.68 ± 0.54 GAE/L of polyphenols, have an inhibitory effect on the bioavailability of the magnesium and mainly on non-heminic Fe consumed as ferrous sulphate of the 76 ± 10 % .
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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) | 0.002 | 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".