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Record W2088497962 · doi:10.1021/ie049913i

Characterization of Adsorbed Athabasca Asphaltene Films at Solvent−Water Interfaces Using a Langmuir Interfacial Trough

2004· article· en· W2088497962 on OpenAlexaff
Li Yan Zhang, Zhenghe Xu, Jacob H. Masliyah

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2004
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMonolayerAsphalteneContact angleFourier transform infrared spectroscopyChemistryAnalytical Chemistry (journal)LangmuirAdsorptionChemical engineeringPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Characteristics of adsorbed monolayers of fractionated high molecular weight, low molecular weight, and unfractionated whole asphaltenes at a heptol (a mixture of heptane and toluene)−water interface have been studied with a Langmuir interfacial trough. The deposited monolayer Langmuir−Blodgett (LB) asphaltene films were characterized with atomic force microscopy (AFM), contact angle measurements, and Fourier transform infrared spectroscopy (FTIR). Monolayers of the three asphaltene samples behave similarly at a heptol−water interface, as characterized by close resemblance of the corresponding pressure−area, hysteresis, and relaxation isotherms. For pressure−area isotherms, a monolayer of the low molecular weight asphaltene is the most expanded, while a monolayer of the high molecular weight asphaltene is the most condensed. In terms of relaxation characteristics, a monolayer of the high molecular weight asphaltene relaxes most quickly. Similarity among the three asphaltene samples is further evidenced by close resemblance of topographies of AFM images, contact angle values, and FTIR spectra of the deposited LB asphaltene films. In general, an asphaltene monolayer is more flexible at a heptol−water interface than at an air−water interface.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.002
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.072
GPT teacher head0.313
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

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

Citations52
Published2004
Admission routes1
Has abstractyes

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