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Surface Charge at the Bitumen/Water Interface Investigated by Phase-Sensitive Sum Frequency Generation Vibrational Spectroscopy: Effects of pH, Ions, and Surfactants

2015· article· en· W2516519587 on OpenAlexafffund
Dan Hu, Keng C. Chou

Bibliographic record

VenueEnergy & Fuels · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsPulmonary surfactantCationic polymerizationChemistrySodium dodecyl sulfateSurface chargeAnalytical Chemistry (journal)Phase (matter)IonSpectroscopyInorganic chemistryChromatographyPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The structure of water at bitumen/water interfaces was studied using phase-sensitive sum frequency generation (SFG) vibrational spectroscopy. The sign of the SFG spectra indicated that the surface of bitumen has a negative net charge. An ordered water structure was observed on the bitumen surface, and the ordering was enhanced at the industry-relevant pH value of 9. The presence of salt in the water neutralized the surface charge of bitumen and nearly destroyed the ordered water structure with a concentration of ∼100 mM. It was found that Ca 2+ was more effective than Na + in screening the surface charge of bitumen. Both the anionic surfactant sodium dodecyl sulfate (SDS) and the cationic surfactant dodecyl trimethylammonium chloride (DTAC) interacted with the bitumen. While the anionic surfactant slightly increased the negative charge of the bitumen surface, the cationic surfactant produced a surface charge reversal, indicated by the sign change of the SFG spectrum.

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 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 score0.575

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 head0.015
GPT teacher head0.256
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.

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

Citations15
Published2015
Admission routes2
Has abstractyes

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