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Record W1969351646 · doi:10.1021/ef0002795

About the Colloidal Nature of Asphaltenes and the MW of Covalent Monomeric Units

2002· article· en· W1969351646 on OpenAlexaff
O. P. Strausz, Ping’an Peng, Juan Murgich

Bibliographic record

VenueEnergy & Fuels · 2002
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAsphalteneChemistryDissociation (chemistry)DesorptionOsmometerCovalent bondMonomerIonizationColloidAnalytical Chemistry (journal)Vapor pressure osmometryMass spectrometryVapor pressureOrganic chemistryChromatographyPolymerIon

Abstract

fetched live from OpenAlex

Problems surrounding molecular aggregation, covalent molecular weight, and their experimental investigation in asphaltene chemistry are reviewed. Chromatographic, fluorescence spectroscopic, and mass spectroscopic (MS) methods for the investigation of these problems are surveyed and their merits and limitations discussed. Dissociation of asphaltene in dilute solution can be followed in time by monitoring the gel permeation retention time variation with the age of the solution. This way, Athabasca asphaltene was reported to dissociate from several thousand to less than about 1000 g mol - 1 molecular weight (MW) species in CH 2 Cl 2 solution to an extent of at least 80% in 14 days' time. The dissociation products represent the monomeric covalent molecules of asphaltene, and the remaining undissociated 20% could be slowly dissociating aggregates or high-MW covalent asphaltenes. The vapor pressure osmometry (VPO) determined number average MW of the same asphaltene was of the order of 4000 g mol - 1, manifesting the aggregated state of the asphaltene at the higher concentrations used for VPO measurements. Of the MS methods, the most thoroughly investigated and proposed to be the best suited to asphaltene studies are the laser desorption ionization/matrix-assisted laser desorption ionization (LDI, MALDI) time-of-flight (TOF) MS. However, results obtained from various laboratories do not compare well; in some cases the bulk of the m / z lies below 1000, and in others it lies well above m / z 1000. 252 Cf plasma desorption MS data are more self-consistent in the sense that the bulk of m / z values always lie below m / z 1000. The upper m / z limit in most cases is around a few thousand m / z but may extend up to tens of thousands m / z . The problems affecting these methods for the determination of covalent, monomeric asphaltene MW distributions are fragmentation of covalent bonds, multiple ionization, and the production of cluster ions. Fluorescence-based methods are not suitable for MW measurements in asphaltene; the reasons for this are discussed in detail.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.213
Teacher spread0.202 · 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 source (direct Gemma or distilled Codex), 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

Citations199
Published2002
Admission routes1
Has abstractyes

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