Novelty of <i>Penicillium camembertii</i> Lipase Supported on Glutaraldehyde Activated-SBA-15 Mesoporous Silica for Mono-Esterification of Bioglycerol in Non-Aqueous Media
Bibliographic record
Abstract
Abstract Hexagonal mesoporous type silica SBA-15 with pore sizes in the range 5.0–8.3 nm was synthesized using non-ionic triblock copolymer and characterized by Accelerated Surface Area Porosimetry (ASAP), FT-IR spectroscopy, X-ray diffraction (XRD) and Scanning Electron Microscopy (SEM). Different lipases were immobilized in glutaraldehyde activated mesoporous SBA-15 support. The resulting supported enzymes were shown to be active and stable catalysts for esterification of glycerol with oleic acid to produce monoglyceride (MG) which is commonly used in food industry. Various parameters were studied systematically to study kinetics. MG Synthesis using enzymatic process is an environmentally friendly approach. Enzyme immobilized on SBA-15 showed the best stability and catalytic activity in organic solvents. Out of various lipases studied penicillium camembertii (Lipase G) produced MG efficiently at low temperature. Reusability was studied on immobilized enzymes. Immobilized lipase maintained 90 % of its esterification activity in non-aqueous media even after 4 cycles of use. The selectivity of Lipase G is found to be 98 % for monoacylglyceride.
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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".