Glucose Oxidase Entrapment in an Electropolymerized Poly(tyramine) Film with Sulfobutylether-β-Cyclodextrin on Platinum Nanoparticle Modified Boron-Doped Diamond Electrode
Bibliographic record
Abstract
Glucose oxidase (GO) was entrapped in an electrodeposited poly(tyramine) film together with a negatively charged sulfobutylether-β-cyclodextrin (SBCD) on the active area of a platinum (Pt) nanoparticle modified boron-doped diamond (BDD) electrode. Electrodeposition of tyramine and simultaneous entrapment of GO/SBCD were performed in 50 mM phosphate buffer, pH 7 containing 0.1 M tyramine, 1750 units GO, and 10 mM SBCD. Atomic force microscopy (AFM) imaging revealed the presence of semicircular nanofibers with a height of 40 nm and an averaged length of 795 nm throughout the electropolymerized film surface. The combined film of poly(tyramine) and SBCD served as an excellent matrix polymer for the GO immobilization with high stability, selectivity, and reproducibility. Sensitive and selective detection of H 2 O 2 was realized at +0.4 V vs 3 M Ag/AgCl, since the poly(tyramine)/SBCD film was capable of preventing the passage of electroactive uric and ascorbic acids to the electrode. The glucose biosensor exhibited a remarkably selective response to glucose with a detection limit of 10 μM, linearity up to 110 mM, and a response time of 2 s. Glutaraldehyde cross-linking of the film with entrapped GO completely eliminated electroactive interference caused by uric and ascorbic acids.
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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".