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Record W4406740262 · doi:10.1039/d4na00943f

X-ray photoelectron spectroscopy of metal oxide nanoparticles: chemical composition, oxidation state and functional group content

2025· article· en· W4406740262 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

VenueNanoscale Advances · 2025
Typearticle
Languageen
FieldEngineering
TopicGas Sensing Nanomaterials and Sensors
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsX-ray photoelectron spectroscopyOxidation stateOxideMetalNanoparticleChemical stateComposition (language)ChemistryGroup (periodic table)Chemical compositionMaterials scienceInorganic chemistryChemical engineeringNanotechnologyOrganic chemistry

Abstract

fetched live from OpenAlex

amine, stearic acid, and PVP-coated samples). Survey and high-resolution scans have provided information on the atomic composition of the samples, including an estimate of the stoichiometry of the metal oxide, the presence of functional groups and the identification and quantification of any impurities on the surface. The presence of significant impurities for some samples and the variation from the expected oxidation state in other cases are relevant to studies of the environmental and health impacts of these materials as well as their use in applications. The functional group content measured by XPS shows a similar trend to earlier quantitative nuclear magnetic resonance (qNMR) data for aminated samples. This indicates that XPS can be a complementary probe of surface functional group content in cases where the functional group contains a unique element not otherwise present on the nanoparticles.

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 score0.006
Threshold uncertainty score0.499

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 head0.008
GPT teacher head0.207
Teacher spread0.199 · 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