Electroanalytical Application of Amine‐grafted Attapulgite to the Sensitive Quantification of the Bioactive Compound Mangiferin
Bibliographic record
Abstract
Abstract A glassy carbon electrode (GCE) coated with a thin film of organoattapulgite was used for the voltammetric detection and quantification of mangiferin (MG), a bioactive xanthone with several therapeutic properties. The used modified attapulgite was prepared by surface grafting of [3‐(2‐aminoethylamino)propyl]trimethoxysilane. The grafted clay was characterised by SEM, CHN elemental analysis, FTIR spectroscopy and XRD techniques. The electrochemical behaviour of MG was first investigated on bare GCE by cyclic voltammetry which showed a single irreversible oxidation peak at ca 0.770 V ( vs Ag/AgCl) in HCl/KCl buffer at pH 1. When the GCE was covered by the organoattapulgite, the electrode response for MG increased significantly due to favourable electrostatic interactions between MG and the protonated organoclay. A sensitive voltammetric method for the determination of MG, based on adsorptive stripping voltammetry was then developed. A linear variation of MG concentration with peak current was obtained in the range from 0.61 to 10.57 μM, with a detection limit of 2.75×10 −7 M (S/N=3). Kinetic and chronocoulometric studies were also performed to characterise the diffusion of MG at the organoclay modified electrode. The interfering effect of some compounds likely to affect the stripping signal of MG was also evaluated, followed by the application of the developed method to a real biological sample.
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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) | 0.001 | 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 | 0.001 | 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".