Determination of Distribution Constants between a Liquid Polymeric Coating and Water by a Solid-Phase Microextraction Technique with a Flow-Through Standard Water System
Bibliographic record
Abstract
This paper describes an optimized experimental system for determining water/polymer coating distribution constants and discusses the mechanism of extraction of high molecular weight compounds by poly(dimethylsiloxane) (PDMS). The proposed flow-through standard water generator eliminates errors associated with both losses of analytes to the system surfaces and limited sample volume. In addition, the errors caused by partial precipitation or poor dissolution of highly hydrophobic analytes during spiking of water when producing calibration standards are also eliminated. The target analytes are a range of polycyclic aromatic hydrocarbons (PAHs). The results demonstrate that absorption partitioning is the predominant mechanism of extraction of analytes into PDMS-coated fibers for all PAHs investigated regardless of molecular weight. There is a strong correlation between determined PDMS/water distribution constants (K(fw)) and literature K(ow) values for all PAHs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".