Monitoring the Distribution of Covalently Tethered Sugar Moieties in Sol−Gel-Based Silica Monoliths with Fluorescence Anisotropy: Implications for Entrapped Enzyme Activity
Bibliographic record
Abstract
Biocompatible silica derived from diglycerylsilane (DGS) and the sugar modified silane N -(3-triethoxysilylpropyl)gluconamide (GLS) has been shown to have great utility for the entrapment of a number of delicate proteins. To further understand the nature of the DGS/GLS composite material, it is important to characterize the local microenvironment and properties of the silica surface within the DGS/GLS monoliths. In this work, we have monitored both the steady-state and time-resolved anisotropy of the fluorescent probe rhodamine 6G (R6G) to determine the distribution of GLS within DGS/GLS-derived materials where varying levels of GLS were added either to the sol or to previously formed DGS-based gels. The data suggest that the addition of GLS to an evolving sol results in preferential coating of silica nanoparticles, which remain present in the gelled material and slowly associate with the continuous polymer network. The preferential presence of GLS on the surface of free particles results in inefficient coating of the monolithic material with the sugarsilane and causes most of the added R6G to associate with the silica skeleton. On the other hand, the addition of GLS to a preformed monolith results in preferential modification of the monolithic silica surface and a much increased level of free dye. A significant amount of R6G-bound nanoparticles remain within these materials over an extended time, suggesting that the nanoparticles do not associate with the GLS-modified silica monolith. The activity of the enzyme horseradish peroxidase was evaluated in DGS derived materials that had GLS added to either the sol or the monolith, and it was determined that optimal activity was obtained in cases where GLS was added to the sol. These results highlight the importance of controlling the time of addition of organosilane additives to evolving sols and suggest that this factor might provide a means to control the properties of the resulting nanocomposite material.
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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 | 0.001 |
| 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".