Preliminary Evaluation of the Silica and Others Chemical Constituents of the Lyophilized Tea of Equisetum Arvense and Application of Its Biomass Wastes for Copper Adsorption
Bibliographic record
Abstract
The herb Equisetum arvense is an herbaceous plant, commonly known as horsetail and as a medicinal plant. Its therapeutic resource is diffused intensely in the urban environment as an alternative or complementary form to allopathic medicines, therefore it is an important theme focused on medicine and popular health. In this context, the focus of the present work was to characterize the product of the tea from a manipulation form made by specialized pharmacy (M) and other natural product banking (B). The two horsetails were extracted in aqueous medium since this is the form in which the material is absorbed by the organisms. The M and B lyophilized products were preliminary characterized by infrared spectroscopy (FTIR), visible ultraviolet (Uv-vis), scanning electron microscopy (SEM) and X-ray dispersive energy (EDX). The resulting biomass adsorption (wastes) were applied in the cupric ions adsorption and the maximum adsorption capacity (Nfmax of M and B horsetail were 4.4x10-4 mol g-1 and 2.6x10-4 mol g-1 respectively.
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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".