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Record W3049115949 · doi:10.20964/2020.09.22

A Novel Screen-Printed Electrode Modified by graphene Nanocomposite for Detecting Clozapine

2020· article· en· W3049115949 on OpenAlexaff
Hadi Beitollahi, Somayeh Tajik, Mohammad Reza Aflatoonian, Fariba Garkani Nejad, Kaiqiang Zhang, Mehdi Shahedi Asl, Quyet Van Le, Joo Hwan, Mohammadreza Shokouhimehr, Wanxi Peng

Bibliographic record

VenueInternational Journal of Electrochemical Science · 2020
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsGrapheneNanocompositeElectrodeClozapineMaterials scienceNanotechnologySchizophrenia (object-oriented programming)MedicinePsychiatryChemistry

Abstract

fetched live from OpenAlex

Present study aims to use Go/Fe 3 O 4 /SiO 2 nanocomposite modified screen printed electrode for electrochemical determination of clozapine. To that end, scanning electron microscopy (SEM) technique was used to study the surface morphology of the Go/Fe 3 O 4 /SiO 2 nanocomposite. The findings of the study showed that modified electrode has an excellent electrocatalytic performance toward oxidation of clozapine. A linear increase in differential pulse voltammetric peaks current of clozapine was observed with their concentrations in the range of 0.1-700.0 μM. The detection limit obtained for clozapine was 0.03 μM. Some advantages of using proposed sensor, among the others, were fast response time, high sensitivity, signal stability, low cost, ease of preparation and the lack of need for using any specific electron-transfer mediator or specific reagent. Accordingly, modified electrode can be used without any need for separation or pretreatment steps to detect clozapine in real samples.

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)0.000
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 score0.257
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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.

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

Citations14
Published2020
Admission routes1
Has abstractyes

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