Uniform Growth of Nanocrystalline ZIF‐8 on Cellulose Nanocrystals: Useful Template for Microporous Organic Polymers
Bibliographic record
Abstract
Abstract Zeolitic imidazolate framework (ZIF‐8) nanocrystals were uniformly grown on the surface of cellulose nanocrystals (CNCs) to give a hybrid material, ZIF@CNCs. By varying the stoichiometry of the components, it was possible to control the size of the ZIF‐8 crystals grown on the CNC surface. Optimized ZIF@CNC ( ZIF@CNC‐2 ) was used as a template to synthesize a microporous organic polymer (MOP), ZIF@MOP@CNC . After etching the ZIF‐8 with 6 M HCl solution, a MOP material with encapsulated CNCs ( MOP@CNC ) was formed. Zinc coordination into the porphyrin unit of the MOP yielded the ship‐in‐a‐bottle structure, Zn MOP@CNC , comprised of CNCs encapsulated within the Zn‐MOP. In comparison to ZIF@CNC‐2 , Zn MOP@CNC showed better catalytic activity and chemical stability for CO 2 fixation, converting epichlorohydrin to chloroethylene carbonate. This work demonstrates a novel approach to create porous materials through CNC templating.
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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".