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Record W2034307890 · doi:10.1021/ef800582j

FTIR Study of the Reaction of Polyphosphoric Acid and Model Bitumen Sulfur Compounds

2008· article· en· W2034307890 on OpenAlexaff
J-F. Masson, Peter Collins

Bibliographic record

VenueEnergy & Fuels · 2008
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsSulfurAsphaltReactivity (psychology)ChemistryOrganic chemistryFourier transform infrared spectroscopySulfideSulfoxideInfrared spectroscopyViscosity indexChemical engineeringMaterials science

Abstract

fetched live from OpenAlex

Bitumen is a complex mixture of alkanes, cycloalkanes, aromatics, and substituted fused aromatics that contain a number of heteroatomic functional groups. To improve its properties, bitumen is often modified with an additive that may or may not be reactive. Polyphosphoric acid (PPA) is a reactive additive used to increase the viscosity of bitumen in summer temperatures. Given the complexity of bitumen, the nature of its reaction with PPA is in many respects unclear. To better understand the reactions between bitumen and polyphosphoric acid, we have used Fourier transform infrared spectroscopy and thin-layer chromatography to study the reaction of model bitumen sulfur compounds. We have used saturated, aromatic, and oxidized sulfides, the most common forms of sulfur in bitumen. Only the oxidized sulfide, the sulfoxide group, was found to react upon heating with PPA. This work concludes with a comparison of the relative reactivity of PPA with model functional groups that contain nitrogen, oxygen, and sulfur, and its incidence on the possible reactivity of oxidized and unoxidized bitumens with PPA.

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 score0.002
Threshold uncertainty score0.298

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 head0.014
GPT teacher head0.222
Teacher spread0.208 · 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

Citations35
Published2008
Admission routes1
Has abstractyes

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