Phosphorylation of Pluronic‐Filled Silica Mesostructure as a Circular Route for Surfactant Removal and Recycling
Bibliographic record
Abstract
Abstract Expanding the pore size of mesostructured silica above 2 nm has constituted a breakthrough in materials science. Unfortunately, the lack of recyclability of the costly used surfactant impedes large‐scale implementation of these precisely calibrated nanoreactors. Unlike the commonly used template‐destructive, energy‐intensive protocols, we herein report that gentle treatment of the as‐prepared silica‐surfactant composite with phosphoryl chloride allows for performing two goals in a single action. Concomitant to surface phosphorylation, the released hydrochloric acid disturbs the hydrogen‐bonding of the Pluronic to the silica network, triggering, as a consequence, its easy escape from the mesostructure. The presence of the Pluronic limits oligomerization of the phosphorus reagent inside of the mesostructure, thereby providing better site isolation for acid and cooperative acid‐base functionalities compared to the phosphorylation undertaken through two‐step implying conventional Soxhlet extraction and post‐grafting, as substantiated by gas adsorption and catalytic tests. Besides, this nondestructive approach offers additional assets for template recovery and further recycling.
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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".