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Record W1968039693 · doi:10.1002/elan.201200245

Multiwalled Carbon Nanotube‐CaCO<sub>3</sub> Nanoparticle Composites for the Construction of a Tyrosinase‐Based Amperometric Dopamine Biosensor

2012· article· en· W1968039693 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueElectroanalysis · 2012
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsBiosensorCatecholAscorbic acidTyrosinaseAmperometryMaterials scienceDetection limitNanoparticleNanomaterialsCarbon nanotubeNanotubeNanotechnologyElectrodeElectrochemistryChemical engineeringChemistryOrganic chemistryChromatographyEnzyme

Abstract

fetched live from OpenAlex

Abstract We report the fabrication of a highly sensitive dopamine biosensor based on the entrapment of tyrosinase into CaCO 3 nanoparticles at Multiwalled Carbon Nanotube (MWCNT) electrodes. CaCO 3 acts as host matrix for tyrosinase and MWCNT provides a highly porous conductive network enhancing the enzyme immobilization and the electrochemical transduction of the enzyme reaction by boosting the amplification phenomenon involved in the biosensing of catechol and dopamine. The comparison of the performance of CaCO 3 ‐tyrosinase electrodes with and without MWCNT film clearly indicates the improvement in sensitivity and maximum current brought by the combination of MWCNTs and inorganic nanomaterials. These nanostructured hybrid bioelectrodes exhibit a high sensitivity for the detection of catechol and dopamine, namely 35.7 A mol −1 L cm −2 , the detection limit for dopamine being 15 nmol L −1 with no influence of the presence of interferents, i.e. uric acid and ascorbic acid.

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.

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 score0.110
Threshold uncertainty score0.809

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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