MétaCan
Menu
Back to cohort
Record W2330499188 · doi:10.1139/cjc-2014-0118

Novel electroanalytical platform based on bimetallic oxide nanospheres for the sensitive determination of Rhodamine B

2014· article· en· W2330499188 on OpenAlexvenueno aff
Junyong Sun, Tian Gan, Cui Yang, Zhaoxia Shi, Ke‐Jing Huang, Yanming Liu

Bibliographic record

VenueCanadian Journal of Chemistry · 2014
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsChemistryCobaltDetection limitBimetallic stripRhodamine BNickelDifferential pulse voltammetryElectrochemistryCalcinationCobalt oxideNafionInorganic chemistryElectrodeOxideNickel oxideCyclic voltammetryChromatographyCatalysisOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

In this work, uniform cobalt and nickel bimetallic oxides were formed by calcining the carbon templates, which were then modified on a glassy carbon electrode (cobalt–nickel oxide/GCE) as a novel system for the preparation of an electrochemical sensing platform. The electrochemical oxidation behavior of Rhodamine B (RB) at the cobalt–nickel oxide/GCE was investigated using differential pulse voltammetry under optimal conditions; the high electrocatalytic activity of the modified electrode toward analysis of RB was indicated. In addition, a linear range of 0.03−1.0 μmol L–1 and a low detection limit of 5.3 nmol L–1 (S/N = 3) for RB detection were obtained. Finally, the developed method with good stability and sensitivity was successfully applied for RB determination in food samples extract.

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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.007
GPT teacher head0.188
Teacher spread0.181 · 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
GenreMethods

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of ChemistrySame topicElectrochemical sensors and biosensorsFrench-language works237,207