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Record W1986482376 · doi:10.1021/la0629781

Phosphonic and Sulfonic Acid-Functionalized Gold Nanoparticles: A Solid-State NMR Study

2007· article· en· W1986482376 on OpenAlex
Petr Fiurasek, Linda Reven

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 · 2007
Typearticle
Languageen
FieldMaterials Science
TopicDendrimers and Hyperbranched Polymers
Canadian institutionsMcGill University
Fundersnot available
KeywordsColloidal goldAlkylChemistryNanoparticleHydrogen bondSolid-state nuclear magnetic resonanceDesorptionPulmonary surfactantCrystallographyNuclear magnetic resonance spectroscopyAdsorptionStereochemistryMoleculePhysical chemistryOrganic chemistryMaterials scienceNanotechnologyNuclear magnetic resonance

Abstract

fetched live from OpenAlex

Gold nanoparticles capped with 11-mercaptoundecanylphosphonic acid (MUP) and sodium 10-mercaptodecanesulfonic acid (MDS) were characterized by a range of techniques which included solid-state 31P and 13C NMR spectroscopies. Despite similar core sizes and alkyl chain lengths, the conformational and dynamic properties of the capping ligands are very different for the two types of nanoparticles. Whereas MDS produces disordered monolayers on planar gold surfaces, the MDS-capped nanoparticles show a high degree of chain order with the onset of reversible chain disordering occurring just above room temperature. The alkyl chains of MUP adsorbed on the gold nanoparticles are more ordered and motionally restricted than the unbound solid surfactant due to strong intramonolayer and interparticle hydrogen bonds. This conformational order is thermally stable, and disordering only occurs upon decomposition and desorption of MUP from the gold core. Solid-state 31P NMR has been demonstrated to be a sensitive probe of the interactions of the PO3H2 terminal groups.

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 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 score0.117
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.013
GPT teacher head0.266
Teacher spread0.254 · 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