Characterization of the Natural and Organomodified Clay Soil of Moukosso (Republic of Congo) by Dimethylsulfoxide: Application to the Adsorption of Lead (II) in Aqueous Solution
Bibliographic record
Abstract
In this study, the authors characterized the raw clayey soil of Moukosso and modified by dimethylsulfoxide (DMSO) by several analytical methods, namely: X-ray diffraction (XRD), Fourier transform infrared (FTIR) and gravimetric thermal analysis (TGA). The cation exchange capacity (CEC) was also determined. Mineralogical analysis by XRD revealed the presence of muscovite (29.7%), kaolinite (8.9%), anatase (2.4%) and quartz (58.9%). The characterization of the organo-clay by infrared and by thermogravimetric analysis confirmed the intercalation of DMSO by the presence of vibration bands at 1008 cm-1 and 1070 cm-1 and a strong increase in the loss of mass. The cation exchange capacity of the raw material is 7.4 meq/100g. Rapid adsorption of Pb2+ ions was observed between 5 and 15 minutes of stirring time in both cases (raw clay and organomodified clay). The modeling of the isotherms by the models of Langmuir and Freudlich showed that these are of type S with a maximum amount of adsorption of 22.471 mg/g for the fine fraction and 41.493 mg/g for the clay intercalated with DMSO. Langmuir’s model best reproduces the experimental data of this study.
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 | 0.000 | 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) | 0.000 | 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".