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Record W7155519180 · doi:10.14447/jnmes/vol28i2.a07

Preparation of Gold/Poly(Thionine) Modified Screen Printed Electrode: Application for Copper(II) Detection in Aqueous Medium, pp. 181-185

2025· article· W7155519180 on OpenAlexvenueno aff
Mutlu Sönmez Çelebi, Sezai Sefa, Songül Kırlak Kara, Serdar Şanlı

Bibliographic record

VenueJournal of New Materials for Electrochemical Systems · 2025
Typearticle
Language
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsAqueous solutionAqueous mediumAqueous extract3d printed

Abstract

fetched live from OpenAlex

Preparation of an electrochemical sensor based on PTH supported Au nanoparticles for Cu(II) detection in aqueous medium was studied.Screen printed electrodes were used for the cell design enabling detection of Cu 2+ ions in very small solution volume.Onepot synthesis of the Au-PTH nanocomposite on the screen printed electrode surface was performed and square wave anodic stripping voltammetry was used for oxidation of Cu which was preconcentrated through electrochemical reduction.The linear concentration range of the sensor was 2.0 µM -50 µM and limit of detection was calculated as 1.298 μM.Interference of potential metal ions was studied, and no significant interference was observed at the same concentration as Cu(II).Additionally, the reproducibility and the stability of the modified electrode was found excellent.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.291
Teacher spread0.281 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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