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Record W2086258041 · doi:10.1002/elan.201300030

Horseradish Peroxidase Nanopatterned Electrodes by Click Chemistry: Application to the Electrochemical Detection of Paracetamol

2013· article· en· W2086258041 on OpenAlexfundno aff
Andreea Cernat, Sophie Griveau, Cyrille Richard, Fethi Bédioui, Robert Săndulescu

Bibliographic record

VenueElectroanalysis · 2013
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsHorseradish peroxidaseGlassy carbonElectrodeElectrochemistryPolystyreneChemistryDetection limitPolypyrroleHydrogen peroxideClick chemistryNanotechnologyBifunctionalChemical engineeringMaterials sciencePolymer chemistryCyclic voltammetryOrganic chemistryCatalysisChromatographyPolymer

Abstract

fetched live from OpenAlex

Abstract We propose the fabrication of nanostructured glassy carbon (GC) electrodes modified with horseradish peroxidase (HRP) for the detection of paracetamol. This was accomplished by inducing the nanostructuration of GC via the adsorption of polystyrene nanospheres (900 nm diameter) followed by electropolymerization of N‐(10‐azidodecyl)pyrrole. The nanospheres were then removed and nanostructured polypyrrole‐GC was submitted to click reaction in presence of ethynyl‐biotin that was further coupled to HRP‐avidin. The electrode was then used to sense the electrochemical reduction of the enzymatically generated electroactive oxidized species of acetaminophen (NAPQI) in the presence of hydrogen peroxide. The nanostructured electrode with HRP exhibits a fast response towards NAPQI reduction and improved performances in terms of sensitivity and limit of detection compared to non structured electrode.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.001
GPT teacher head0.164
Teacher spread0.162 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2013
Admission routes1
Has abstractyes

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