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Record W2330380771 · doi:10.1021/cm401944b

Mechanism of Shape Evolution in Ag Nanoprisms Stabilized by Thiol-Terminated Poly(ethylene glycol): An in Situ Kinetic Study

2013· article· en· W2330380771 on OpenAlexafffund
Lijia Liu, Cheryl A. Burnyeat, Reegan S. Lepsenyi, Izuoma O. Nwabuko, Timothy L. Kelly

Bibliographic record

VenueChemistry of Materials · 2013
Typearticle
Languageen
FieldMaterials Science
TopicGold and Silver Nanoparticles Synthesis and Applications
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversity of SaskatchewanCanadian Light Source
KeywordsEthylene glycolNanomaterialsChemical engineeringSilver nanoparticleChemistrySurface modificationRedoxNanoparticlePEG ratioX-ray photoelectron spectroscopyMaterials sciencePhotochemistryNanotechnologyInorganic chemistryOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Silver nanoprisms are found to undergo a shape transformation from triangular to disk-like upon functionalization with thiol-terminated poly(ethylene glycol) (PEG-SH). The shape transformation starts with a rounding of the nanoprism tips followed by a reduction in the overall particle size. The changes in nanoparticle morphology and surface chemistry during the PEGylation process are investigated by a combination of transmission electron microscopy, in situ UV–vis spectroscopy, and in situ solution-phase X-ray absorption near-edge structure at the Ag L 3 - and the S K -edge. We found that PEG-SH etches the Ag surface through a catalytic redox process, whereby oxidized surface atoms are first removed from the nanoprism tips (likely as the silver(I) thiolate complex) and then reduced back to elemental silver (in the form of small clusters) in the solution along with oxidation of the thiolate to the disulfide. The effect of PEG-SH concentration and molecular weight are investigated, along with the role of ambient oxygen in the etching process. The results have implications for the behavior of silver nanoprisms in various plasmonic applications (e.g., surface-enhanced Raman scattering and metal-enhanced fluorescence) and also provide insights into the degradation mechanism of silver nanomaterials in the environment.

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 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 categoriesInsufficient payload (model declined to judge)
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 score0.008
Threshold uncertainty score0.999

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)0.0020.000

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 head0.235
Teacher spread0.225 · 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 teacher head, not a consensus.

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

Citations45
Published2013
Admission routes2
Has abstractyes

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