Effects of Resin I on Asphaltene Adsorption onto Nanoparticles: A Novel Method for Obtaining Asphaltenes/Resin Isotherms
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Bibliographic record
Abstract
The main objective of this study is to investigate the effect of resin I on the adsorption behavior of n -C 7 asphaltenes onto silica and hematite nanoparticles. It is worthwhile to mention, for the first time, that competitive adsorption of n -C 7 asphaltene and resin I over nanoparticles is reported. Indeed, a novel method based on thermogravimetric analysis (TGA) and softening point (SP) measurements was used for the simultaneously construction of adsorption isotherms of n -C 7 asphaltenes and resins. The adsorption experiments were conducted in the batch mode at different n -C 7 asphaltene to resin I (A:R) ratios of 7:3, 1:1, and 3:7 and different concentrations of the asphaltene–resin mixture from 500 mg/L to 5000 mg/L. The adsorption isotherms were described by the solid–liquid equilibrium (SLE) model. The results showed different shapes of the adsorption isotherms according to the A:R ratio. However, the nanoparticles become more selective for asphaltene at a high asphaltene/resin ratio. In addition, the amount of n -C 7 asphaltenes adsorbed at any of the A:R ratios evaluated was successfully predicted from a known amount adsorbed at a determined A:R ratio, following a simple rule of three. Results indicated that resin I does not have significant influence on the adsorbed amount of asphaltenes, showing that resin I has a solvent-like behavior, such as toluene, mainly at low concentrations (<3000 mg/L).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 it