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Record W4414888274 · doi:10.1021/acs.nanolett.5c04449

Multifunctional PTCA/GO for a Glucose-Driven Electrochemiluminescence Biosensor

2025· article· en· W4414888274 on OpenAlexaff
Jingxian Li, Ran Zhang, Su-Ping Deng, Ningbo Zhang, Dan Yang, Abing Duan, Zhuo Chen, Hongfen Yang, Ren Cai, Weihong Tan

Bibliographic record

VenueNano Letters · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsDiscovery Centre
FundersNatural Science Foundation of Hunan ProvinceNational Natural Science Foundation of China
KeywordsElectrochemiluminescenceRadicalHydrogen peroxideBiosensorReactive oxygen speciesOxygenSuperoxideGlucose oxidase

Abstract

fetched live from OpenAlex

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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.259
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2025
Admission routes1
Has abstractyes

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