Hydrocarbon Group Type Separation of Gas Oil Resins by High Performance Liquid Chromatography on Hyper-Cross-Linked Polystyrene Stationary Phase
Bibliographic record
Abstract
An analytical method that provides chromatographic information regarding gas oil resins has been developed. This method uses a high performance liquid chromatographic system without backflushing and a single hyper-cross-linked polystyrene column. The use of the latter was warranted as it retains aromatic model compounds more effectively than a typically used silica-based amino-cyano column. Moreover, there was no need for extra solvent drying techniques because a retention time reproducibility of 2.9% RSD over 6 months was achieved. Using this method, gas oil resins were separated into seven chromatographic regions in 35 min on the hyper-cross-linked polystyrene column using a four-solvent-gradient procedure (hexane, chloroform, tetrahydrofuran, and methanol). On the basis of model compounds, separation was achieved between aromatics, sulfur-containing, and nitrogen-containing compounds. Determining composition has a large effect on the characteristics, conversion, and uses of the petroleum feedstock. As resins comprise a significant component of petroleum feedstock—up to 54% of the source material—the detailed characterization of resins using this method is expected to assist in improving the valorization of petroleum products.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".