Interaction of Dendrimer-Based Polymer with Sodium Dodecyl Benzenesulfonate: Characterization and Effect on Properties of Composites
Bibliographic record
Abstract
To improve oil recovery significantly, a novel polymer/surfactant binary system (SP) was formed by mixing a dendrimer-based polymer (noted HPMA) with sodium dodecyl benzenesulfonate (SDBS). A series of microcosmic strategies convincingly characterized that the dominating interaction of HPMA with SDBS was the electrostatic repulsion between the polymer branched chains and the head groups of SDBS. Meanwhile, a moderate hydrogen-bond effect and the solubilization of polymer branched chains could be observed respectively at stages of low and high SDBS concentration. Static experimental results indicated that these interactions would weaken the viscoelasticity of the SP system in comparison to that of the HPMA-only system, yet its interfacial activity could be reinforced. More significantly, sandpack tube displacement experiments directly demonstrated that the HPMA/SDBS composite system could effectively improve oil recovery through the synergistic effect of binary components. These results could provide theoretical guidance for the efficient use of the SP system according to actual demand.
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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 | 0.000 | 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) | 0.001 | 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".