Quantification of <i>p</i> -Cymene and Heptane in a Solvent-Based Green Process of Polystyrene Recycling
Bibliographic record
Abstract
The development of an economically viable technology for recycling polystyrene (PS) is of crucial importance. Most postconsumer PS feedstocks cannot be handled by mechanical recycling due to severe contamination. A solvent-based process was developed by Polystyvert and uses p -cymene as a solvent to solubilize PS and heptane as an antisolvent to precipitate it. This leads to the production of recycled PS resin of high purity. However, the optimization of this process requires the knowledge of p -cymene, heptane, and PS concentrations at different stages, where the samples of interest can be a viscoelastic paste or a solid (pellets). Here, we present an infrared spectroscopy (IR) method that can rapidly quantify the content of these samples at the plant level. Partial least squares statistical modeling on the first derivative IR spectra allowed the simultaneous quantification of the components with a limit of quantification of 0.5% and 1% for p -cymene and heptane. To illustrate the usefulness of this method, samples from a pilot PS-recycling plant were tested to improve the washing efficiency of the process.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".