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Record W1966321168 · doi:10.1021/la050875x

Coadsorption of Horseradish Peroxidase with Thionine on TiO<sub>2</sub> Nanotubes for Biosensing

2005· article· en· W1966321168 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLangmuir · 2005
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsLakehead University
Fundersnot available
KeywordsThionineHorseradish peroxidaseBiosensorNanotubeSubstrate (aquarium)Materials scienceNanotechnologyElectrodeElectrochemistryChemical engineeringCarbon nanotubeAdsorptionChemistryOrganic chemistryPhysical chemistryEnzyme

Abstract

fetched live from OpenAlex

In this study, we investigate the coadsorption of protein with thionine on TiO(2) nanotubes for biosensor design. The TiO(2) nanotube arrays fabricated by anodic oxidation of titanium substrate possess large surface areas and good uniformity and conformability and are ready for enzyme immobilization. Electrochemical and spectroscopic measurements show that the TiO(2) nanotube arrays provide excellent matrixes for the coadsorption of horseradish peroxidase (HRP) and thionine and that the adsorbed HRP on these TiO(2) nanotube arrays effectively retains its bioactivity. The immobilized thionine can be electrochemically reduced but cannot be reoxidized in the electrode potential range between -0.7 and 0.0 V. The addition of H(2)O(2) leads to the biocatalytic oxidation of the reduced thionine in the presence of HRP, resulting in developing a novel H(2)O(2) sensor with good stability and reproducibility. The fabricated TiO(2) nanotubes offer a stage for further study of immobilization and electrochemistry of proteins. The proposed method opens a way to develop biosensors using nanostructured materials with low electrical conductivity.

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 score0.004
Threshold uncertainty score0.424

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 head0.005
GPT teacher head0.181
Teacher spread0.176 · 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