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Record W2055286617 · doi:10.1520/jai101240

Performance of An Enzyme Electrode Designed for a Sulfide Monitoring Biosensor

2008· article· en· W2055286617 on OpenAlexaff
Reeta Sooknah, Sankara Papavinasam, Michael Attard, R. Winston Revie, W. Douglas Gould, O. Dinardo

Bibliographic record

VenueJournal of ASTM International · 2008
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBiosensorElectrodeSulfideMaterials scienceNanotechnologyChemistryMetallurgy

Abstract

fetched live from OpenAlex

Abstract The construction and evaluation of an enzyme electrode designed for a sulfide monitoring biosensor, are reported in this work. The enzyme, which is immobilized in a carbon (graphite) paste with 1,1′ dimethylferrocene, catalyzes the oxidation of sulfide to sulfur. Amperometric measurements were carried out at room temperature, and a fixed potential of 0.3 V with reference to a saturated calomel electrode, using Tris-HCl buffer (pH 7.5) as the electrolyte, and sodium sulfide solution as the substrate. Under deaerated conditions, the biosensor responded linearly to the tested sulfide concentration range of 0–4mM, giving an average apparent Michaelis constant of 3mM, and maximum current responses between 0.7 and 3.6 μA. The sensitivity of the electrodes tested ranged from 0.2–0.3 μA mM−1.

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 score0.016
Threshold uncertainty score0.357

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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

Citations4
Published2008
Admission routes1
Has abstractyes

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