Modified high amylose starch for immobilization of uricase for therapeutic application
Bibliographic record
Abstract
Urate oxidase (uricase) was immobilized on carboxymethyl high amylose starch cross-linked 35 (CM-HASCL-35), on aminoethyl high amylose starch cross-linked 35, as well as on commercial supports, CNBr-activated Sepharose and diaminodipropylamine agarose. The N -ethyl-5-phenylisoxazolium-3'-sulphonate (Woodward reagent K) gave a high binding but totally inhibited the enzyme activity. Best results were obtained with CM-HASCL-35 using 1-ethyl-3-(3-dimethylaminopropyl)carbodi-imide as a coupling agent. The immobilized enzyme retained 88% of its initial limit rate [V (max)(app)=16 EU/mg for immobilized uricase versus V (max)=18 EU/mg for the free enzyme], with an apparent decrease of affinity for urate substrate [K (m)(app)=0.17 mM versus K (m)=0.03 mM for the free enzyme]. The coupling yield was 60% and the modified uricase was found more resistant to proteolysis than the free enzyme. The immobilized uricase retained 25% of its initial activity after 60 min in pancreatic proteolysis medium (pancreatin), whereas the free enzyme retained only 5% of its initial activity. The best immobilization yield was obtained with the polymeric support based on CM-HASCL-35 (53%), which gave better results than commercial supports based on agarose.
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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) | 0.001 | 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) | 0.001 | 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 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".