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Record W4382023601 · doi:10.1016/s1452-3981(23)15037-1

Electrocatalytic Oxidation of NADH on Graphene Oxide and Reduced Graphene Oxide Modified Screen-Printed Electrode

2011· article· en· W4382023601 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Electrochemical Science · 2011
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsUniversity of Alberta
FundersMinistry of Health of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsGrapheneOxideX-ray photoelectron spectroscopyChemistryElectrochemistryPhotochemistryElectrodeInorganic chemistryMaterials scienceNanotechnologyChemical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

A facile method, Graphene Oxide (GO) modified electrochemically pre-anodized screen-printed carbon electrodes (SPCEs), was developed for the determination of nicotinamide adenine dinucleotide (NADH) in neutral aqueous solution. Compared with the bare SPCEs and the reduced Graphene Oxide (rGO) modified SPCEs (rGO/SPCEs), the GO/SPCEs exhibit greatly enhanced electrocatalytic oxidation toward NADH. The scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS) provide the substantial evidence for the formation of edge-plane sites on the surface of SPCEs, rGO/SPCEs and GO/SPCEs. The GO/SPCEs show the excellent electrochemical character for the determination of NADH in the range from 0.8 to 500 μM with a detection limit of 0.10 μM. The formation of oxidation product NAD+ was confirmed by in-situ UV-Vis spectroelectrochemistry. It shows a great promise for the design of the disposable amperometric biosensor for NADH.

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.

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 score0.004
Threshold uncertainty score0.909

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.231
Teacher spread0.218 · 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