Characterization of Clay Materials from Côte d’Ivoire: Possible Application for the Electrochemical Analysis
Bibliographic record
Abstract
The utilization of clay minerals as electrode modifiers is based on their unique structure and properties. In this study, clays from various regions of Côte d'Ivoire were characterized for their potential use in developing electrochemical sensors. The clay samples underwent analysis via X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) mapping analysis, Fourier transform infrared spectroscopy (FTIR), and X-ray fluorescence (XRF). Results from XRD, FTIR, SEM, and XRF indicated that kaolinite was the primary component mineral phase in all samples. These clays were then employed as modifying agents to prepare modified carbon paste electrodes, and the electrochemical behavior of ferri/ferrocyanide was studied via cyclic voltammetry on the modified electrodes. The composite electrodes generated from clays and carbon pastes exhibited a well-defined redox peak of ferri/ferrocyanide and appeared to be more sensitive than bare carbon paste electrodes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".