SYNTHESIS AND CHARACTERIZATION OF MESOPOROUS POLYMER-SILICA HYBRID MONOLITH USING CONVENTIONAL SOL-GEL METHOD FOR ENZYME SUPPORT
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Bibliographic record
Abstract
This research involved developing a novel solid support for an enzyme attachment, focusing on synthesizing a polymer-silica hybrid monolith via in-situ sol-gel polymerization method. The fabrication of a very large surface area of the monolith was done using a cold mixture of poly(ethylene-glycol) (PEG) with tetraethyl-orthosilicate (TEOS) and acetic acid with different ratios of PEG amount and molecular weights, namely PEG-0.1, PEG-0.2, and PEG-0.3. The experiments were conducted at a very low temperature of 0 C, followed by overnight gelification and aging. The sol then underwent calcination at 200 C forming a hybrid monolith. The characterizations of hybrid monoliths were performed by Attenuated-Total Reflection-Fourier Transformed Infrared Spectroscopy (ATR-FTIR), Scanning Electron Microscope (SEM), and Surface Area and Porosity Analyzer using both Brunauer-Emmett-Teller (BET) and Barrett-Joyner-Halenda (BJH) methods to describe the developed monoliths. FTIR shows the presence of Si-O-Si stretching associated with the monolith network due to the polymerization process together with the presence of silanol functional group (Si-OH) that can be exploited further for covalent attachment with the enzyme. Results also showed that the optimum ratios for the hybrid polymer-silica synthesis were PEG-0.1with 10,000 M n surface area of mesoporous network recorded for 494.121 m 2 /g and pore volume of 0.265 cm 3 /g. These findings showed that the synthesized hybrid monolith on fused silica capillary will provide a vast surface area with desirable functional groups; thus, very promising for lipase immobilization support that can be used in future small-scale lipid transformation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it