Kinetic-Controlled Synthesis of Walnut-like Core–Shell Magnetic Mesoporous Silica Microspheres for Enhanced Enzyme Loading and Biocatalytic Performance
Bibliographic record
Abstract
Magnetic mesoporous materials, integrating magnetic nanoparticles and mesoporous structures, have great potential in biomedicine, catalysis, and the environment. This study develops a novel core–shell nanocarrier (CS-WMM: magnetic core-flower-like MnO 2 mesoporous layer-silica shell) for efficient lipase immobilization and enhanced phytosterol esters synthesis. Via a surfactant-free kinetic-controlled interfacial assembly, walnut-like dual-mesoporous microspheres (inner flower-like MnO 2, outer mesoporous SiO 2: 4.8 nm pore, 158.61 m 2 /g surface) are constructed, enabling a high enzyme loading (210 mg g – 1 ) and improved substrate diffusion. Compared with Fe 3 O 4 @MnO 2, CS-WMM achieves 78.33% esterification conversion and retains 55.03% activity after 7 cycles via dual-mesoporous synergy. This work provides a novel material design strategy with high loading capacity and structural stability for hydrophobic substrate-driven biocatalytic systems, which holds potential applications in food lipid processing, biopharmaceuticals, and other fields.
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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) | 0.000 | 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".