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Record W2222581047 · doi:10.14447/jnmes.v16i2.15

Electrochemical Study of a Nano Vesicular Artificial Peroxidase on a Functional Nano Complex Modified Glassy Carbon Electrode

2013· article· en· W2222581047 on OpenAlexvenueno aff
Wei-Yun Yang, Jun Hong, Ying-Xue Zhao, Bao-Lin Xiao, Yunfei Gao, Tian Yang, Ali Akbar Moosavi‐Movahedi, Hedayatollah Ghourchian, Zainab Moosavi‐Movahedi

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2013
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsnot available
Fundersnot available
KeywordsElectrodeHydrogen peroxideElectrochemistrySodium dodecyl sulfateDetection limitNano-HeminElectron transferPeroxidaseChemistryNuclear chemistryBuffer solutionMaterials scienceInorganic chemistryAnalytical Chemistry (journal)ChromatographyOrganic chemistryPhysical chemistryHemeEnzyme

Abstract

fetched live from OpenAlex

A nano vesicular was constructed with the complex consisting of hemin, imidazole Gemini and sodium dodecyl sulfate (SDS) in 50 mM phosphate buffer solution (PBS). The novel nano structure acted as an efficient artificial peroxidase (AP). The AP was also immobilized on a carboxyl functionalized multi-walled carbon nano-tubes (MWCNTs-COOH) and gold nano-particles (AuNPs) nano-complex modified glassy carbon (GC) electrode, with a formal potential of -31 ± 2 mV vs. Ag/AgCl in 50 mM PBS, at a scan rate of 0.05 Vs -1. The heterogeneous electron transfer constant (ks) was evaluated to be 5.4 ± 0.1s-1. The modified electrode can be used to detect hydrogen peroxide in the range from 0.03 to 160 μM linearly, with a detection limit of 0.03 μM. The apparent Michaelis-Menten constant (Kmapp) of AP modified electrode was evaluated to be 0.034 ± 0.003mM.

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 science0.0000.000
Research integrity0.0010.000
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 head0.022
GPT teacher head0.224
Teacher spread0.201 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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