Matrix physicochemical properties affect activity of entrapped chlorophyllase
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Bibliographic record
Abstract
Abstract Chlorophyllase, a membrane glycoprotein, was entrapped in various matrices, including alginate, alginate–silicate mixed gel, TMOS‐based sol–gel, and their hydrophobically‐modified counterparts. Chlorophyllase activity was affected by the physicochemical properties of the matrix, demonstrating lower activity in organically‐modified matrices compared with the corresponding hydrophilic matrices. The advantage of adopting organically‐modified matrices to facilitate the transfer of hydrophobic substrate is likely compromised by detrimental interaction between chlorophyllase and the hydrophobic components. This hypothesis is at least partly substantiated by the negligible activity demonstrated by free chlorophyllase in hydrophobic micellar media. Even though activity yields exceeded 50% in alginate beads, the release profile reveals that alginate matrix is too porous to retain chlorophyllase. Although alginate–silicate mixed gel more effectively confined chlorophyllase in the matrix, only 16% of the activity was recovered. In contrast, inorganic sol–gel yielded a chlorophyllase preparation with mass yield above 90%, and activity yield above 50%. Doping additives did not improve activity yield, which could be explained by the lower specific surface area and pore volume, and hence possible restricted accessibility of chlorophyllase by its substrate. Water/silane ratio was found to affect the sol–gel‐entrapped chlorophyllase activity by influencing the gelation time and physical properties of the gel. Copyright © 2005 Society of Chemical Industry
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 it