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Record W3086971425 · doi:10.14447/jnmes.v23i2.a02

A Novel PCB77 Electrochemical Sensor Based on Nano-functionalized Electrode and Selected Aptamer

2020· article· en· W3086971425 on OpenAlexvenueno aff
Xuelian Yao, ChaDan Chen, Lin Chen, Wei Xiong, Hanfeng Cui, Hanlin Xu, Hao Fan

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2020
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsAptamerElectrodeElectrochemistryNano-NanotechnologyMaterials scienceElectrochemical gas sensorChemistryComposite materialPhysical chemistryBiology

Abstract

fetched live from OpenAlex

is a highly toxic substance that endanger ecological environment and human health. In our study, a novel PCB77 electrochemical sensor based on nano-functionalized electrode and selected aptamer was designed. -cyclodextrin-Au nanoparticles (-CD-AuNPs)/Nafion modified glassy carbon electrode (GCE) was used for amplify signal that enable sensitivity advanced, and the selected electroactive ferrocene (Fc) labed aptamer was assembled on the electrode surface via the host-guest recognition between -CD and Fc. The detection was carried out according to the signal changed caused by transformation in the configuration of aptamer before and after the existence of PCB77. By this strategy, a detection limit down to 1.610-8 g/L was achieved. Moreover, it exhibited reliable selectivity against co-existing chemicals.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.026
GPT teacher head0.256
Teacher spread0.230 · 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.

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

Citations1
Published2020
Admission routes1
Has abstractyes

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