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Record W2021699577 · doi:10.1021/cm030334y

Preparation of Poly(1-vinylimidazole)-Grafted Magnetic Nanoparticles and Their Application for Removal of Metal Ions

2004· article· en· W2021699577 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

VenueChemistry of Materials · 2004
Typearticle
Languageen
FieldChemistry
TopicNanomaterials for catalytic reactions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSiloxaneAdsorptionAqueous solutionSilaneChemistryMagnetic nanoparticlesPolymer chemistryPolymerizationPolymerMetal ions in aqueous solutionSuspension polymerizationNanocompositeInorganic chemistryMetalNanoparticleNuclear chemistryMaterials scienceOrganic chemistryNanotechnology

Abstract

fetched live from OpenAlex

Poly(1-vinylimidazole) with a trimethoxysilyl terminal group (Im n ) was synthesized by telomerization of 1-vinylimidazole. The degree of polymerization ( n ) was determined by 1 H NMR to be 18. The Im 18 with reactive silane terminal group was grafted directly onto nanosize magnetic particles (maghemite, γ-Fe 2 O 3 ) through siloxane bonds to produce polymer-grafted magnetic nanocomposite particles (Mag-Im 18 ). The amount of polymer anchored on the particle was estimated by elemental analysis to be 5 wt %. The surface coverage of imidazolyl groups was estimated to be 0.44 mmol g - 1 . A stable Mag-Im 18 suspension was prepared, and the polymer coatings were chemically stable over a pH range of 3.5−10.0. The Mag-Im 18 showed a selective binding of divalent metal ions with a binding strength in the order of Cu 2+ ≫ Ni 2+ > Co 2+ . At pH 5.3, the limiting adsorption capacity for Cu 2+ ion was 0.11 mmol g - 1 . Selective separation/recovery of Cu 2+ ions from a Cu 2+ /Co 2+ aqueous solution was demonstrated over a pH range of 3−7.

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 score0.001
Threshold uncertainty score0.586

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 head0.010
GPT teacher head0.251
Teacher spread0.241 · 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