Multifunctional PTCA/GO for a Glucose-Driven Electrochemiluminescence Biosensor
Bibliographic record
Abstract
The self-decomposition of hydrogen peroxide inevitably hinders the sensitivity and luminous efficiency of 3,4,9,10-perylene tetracarboxylic acid (PTCA) in electrochemiluminescence (ECL) systems. For the first time, as a new and advanced coreactant, glucose was efficiently activated by PTCA/graphene oxide (PTCA/GO) to generate numerous reactive oxygen species (ROS) for triggering the ECL emission of PTCA. PTCA/GO exhibits excellent glucose oxidase-like and catalase (CAT)-like activities to achieve the in situ generation and accumulation of hydroxyl radicals (·OH) and superoxide radicals (O 2 •– ). Meanwhile, the oxygen reduction reaction (ORR) of PTCA/GO follows a four-electron pathway to produce more ·OH and O 2 •– . The as-accumulated ·OH and O 2 •– subsequently react with PTCA anion radicals (PTCA •– ) to emit strong ECL signals. Finally, a novel ECL biosensor was fabricated based on the PTCA/GO-glucose system for the ultrasensitive detection of glucose and alkaline phosphatase (ALP).
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".