Physico-chemical, mineralogical, textural and thermal characterizations of natural clay from Yagoua (Far North of Cameroon).
Bibliographic record
Abstract
This work focused on the valorization of the natural clay resources from the Yagoua region in the Far North of Cameroon. The physico-chemical, crystallographic, textural and thermodynamic analyzes of this clay were carried out in order to synthesize porous ceramic materials applicable to water treatment. The majority of chemical elements encountered by EDX semi-quantitative analysis were Si (16.4 %) and Al (8.5 %) which were presented as SiO2 and A12O3 oxides in the clay material. All the data obtained indicate, with regard to X-ray diffraction, that the clay material consists mainly of kaolinite (Al2Si2O5 (OH)4), quartz (SiO2), dolomite CaMg(CO3)2 and corundum (Al2O3). Infrared analysis of crude clay revealed the presence of vibration bands related to the O-H, Si-O, Al2OH, CO3 2-bonds characteristic of kaolinite, quartz, and dolomite. The Scanning Electron Microscopy (SEM) of this clay showed the particles were stacked, thus constituting clusters. The nitrogen adsorption-desorption of the clay described a type IV isotherm characteristic of mesoporous solids with a specific surface area of 47.91 m 2 /g and an average pore diameter of 67.91 , obtained by the BJH (Barrett, Joyner et Halenda) method. Phase transformation analyzes, TGA/DSC (Thermogravimetric analysis/Differential Scanning Calorimetry) indicated the different phase transitions of the material during heating, ranging from dehydration (desorption of the adsorbed hygroscopic water to the surface of the particles), then dehydroxylation (conversion of kaolinite to metakaolinite) and finally recrystallization (transformation of the metakaolinite into a Physico-chemical
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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 | 0.001 | 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".