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Record W2737388381 · doi:10.1021/acs.jpcc.7b04042

X-ray Absorption Spectroscopic Studies of the Penetrability of Hollow Iron Oxide Nanoparticles by Galvanic Exchange Reactions

2017· article· en· W2737388381 on OpenAlexafffund
Yali Yao, Christian Patzig, Yongfeng Hu, Robert W. J. Scott

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2017
Typearticle
Languageen
FieldChemistry
TopicNanomaterials for catalytic reactions
Canadian institutionsCanadian Light Source (Canada)University of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsNanoparticleXANESBimetallic stripOxideMaterials scienceGalvanic cellCatalysisSinteringIron oxide nanoparticlesChemical engineeringIron oxideAbsorption (acoustics)Extended X-ray absorption fine structureInorganic chemistryAbsorption spectroscopyChemistryNanotechnologySpectral lineMetalMetallurgyComposite materialOrganic chemistry

Abstract

fetched live from OpenAlex

Hollow Fe oxide nanoparticles have many applications in catalysis, drug delivery, and energy storage. Hollow Fe oxide shells can also be used for preventing the sintering of catalytically active cores and for magnetic recovery of bimetallic nanoparticles. However, more studies are required under real reaction conditions on the availability of the interior surface or active cores in hollow nanoparticles. Herein, we introduce a simple approach to study the penetrability of hollow Fe oxide shells by attempting galvanic exchange reactions between the remaining Fe(0) core within the hollow Fe oxide shell and Pd(II) salts. First, in situ high-temperature Fe K-edge XANES was used to monitor the formation of hollow Fe oxide nanoparticles from Fe nanoparticles. Core-void-shell Fe-Fe oxide nanoparticle intermediates were captured at different time intervals and then reacted with Pd(II). The reduction of Pd(II) was characterized by in situ Pd L 3 -edge XANES spectra. The results show that the core-void-shell nanoparticles had Fe 3 O 4 shells, which were found to be impenetrable to Pd(II) salts when the thickness of the shell was more than 2 nm. However, the core could be accessed using a high-temperature etching strategy for the shell, which then allowed for galvanic reactions with Pd.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.005
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.292
Teacher spread0.268 · 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.

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

Citations3
Published2017
Admission routes2
Has abstractyes

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Same venueThe Journal of Physical Chemistry CSame topicNanomaterials for catalytic reactionsFrench-language works237,207