Separation of Aliphatic and Aromatic Acids, Aromatic Sulfonates, Quaternary Ammonium Compounds, and Chelating Agents on a Reversed-Phase Column Without Ion Pairing
Bibliographic record
Abstract
Cleaning products contain a wide variety of components. These include inorganic materials, weak acids, anionic surfactants, cationic surfactants, amphoteric compounds, and nonionic materials. The separation of these generally requires the use of multichromatographic modes. A system is developed that would give the maximum information for a cleaning product in a single chromatographic run. With the use of a hydrophobic, high-carbon-loading, and a relatively hydrophobic surface reversed-phase packing, such compounds as aromatic sulfonates, quaternary ammonium compounds, weak acids, nitrilotriacetic acid, ethylenediaminetetraacetic acid, and nonionic materials may be separated in a single run. The mode of separation is considered to be a combination of reversed-phase, ion-suppression reversed-phase, and adsorption chromatography. The separation is made on a YMC-Packl ODS-AQl column (4.6 x 250 mm, 120 angstroms). The separation employs a gradient run starting with 0.01 N H2SO4 for 10 min followed by a gradient for 15 min to 100% acetonitrile and continuing for an additional 5 min with 100% acetonitrile. The flow rate is 1 mL/min, and the separation is monitored at 210 nm.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.008 |
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".