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Record W2096722937 · doi:10.1109/iembs.2007.4352880

Effect of self-assembled monolayers (SAMs) in binding glucose oxidase for electro-enzymatic glucose sensor with gold electrodes

2007· article· en· W2096722937 on OpenAlex
Jasbir N. Patel, Bożena Kamińska, Bonnie L. Gray, Byron D. Gates

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

VenueConference proceedings · 2007
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsGlucose oxidaseMonolayerBovine serum albuminElectrodeSelf-assembled monolayerBiosensorChemistryAdhesionMaterials scienceNanotechnologyChromatographyOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

In this paper, a new approach to improve long term stability of electro-enzymatic glucose sensors is presented. Self-assembled monolayers (SAMs) are employed for surface treatment of the gold electrodes to improve adhesion. Three types of functional alkylthiols, namely 11-amino-1-undecanethiol hydrochloride, 1-hexadecanethiol (1-hydrochloride, and 1,9-nonanedithiol, and bovine serum albumin (BSA) are investigated in our study. Alkylhiols are used for surface treatment of gold electrodes and BSA is mixed in enzyme (glucose oxidase) solution to realize the proposed sensors. Furthermore, gold is investigated as an electrode material. Both reference and active electrodes are fabricated using only gold. The current response of the modified sensors showed long term stability. However, the unmodified sensors showed very short term stability because glucose oxidase does not adhere well to the electrodes. The proposed modified sensors also show lower drift than the unmodified sensors without surface treatment and BSA.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.218
Teacher spread0.213 · 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