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Record W2077208403 · doi:10.1002/app.13221

Immobilization of glucose oxidase in chitosan gel beads

2003· article· en· W2077208403 on OpenAlexaff
Amyl Ghanem, Ahmed Ghaly

Bibliographic record

VenueJournal of Applied Polymer Science · 2003
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCarbodiimideGlucose oxidaseImmobilized enzymeChitosanBiopolymerChemistryEnzymeConjugateEnzyme assayBiosensorChromatographyPolymer chemistryPolymerBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Glucose oxidase was conjugated to the biopolymer chitosan using carbodiimide conjugation. Gel beads were formed from the enzyme–biopolymer complex, and the activity of the immobilized enzyme was compared to the method of encapsulating the enzyme in chitosan. The activity of the immobilized enzyme was found to increase with increasing carbodiimide concentration and time of incubation, to a maximum. Enzyme activity decreased with time as the beads were air‐dried. The pH optima of the immobilized enzyme was shifted to a more acidic value compared to that of the free enzyme. The use of carbodiimide chemistry to conjugate glucose oxidase to a chitosan gel was demonstrated. This technique holds promise for the development of immobilized enzymes for applications in medicine, biosensors, and bioprocessing. © 2003 Wiley Periodicals, Inc. J Appl Polym Sci 91: 861–866, 2004

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 score0.002
Threshold uncertainty score0.005

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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.194
Teacher spread0.190 · 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

Citations50
Published2003
Admission routes1
Has abstractyes

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