Measurement and Prediction of Solubility of Paracetamol in Water−Isopropanol Solution. Part 1. Measurement and Data Analysis
Bibliographic record
Abstract
An attempt has been made to measure the concentration of paracetamol (98%, Aldrich Chemical Co. Inc., MO) in different solutions using an in situ ATR-FTIR device and chemometrics. A partial least-squares (PLS1) algorithm has been applied to construct two calibration models for paracetamol concentration, water mass percent, and temperature. The models and errors have been analyzed using validation data sets and diagnostic tools. The models are then used to evaluate the solubility of paracetamol (PA) in pure isopropanol, pure water, and isopropanol−water mixtures in the temperature range 5−40 °C. The solubility of paracetamol in isopropanol−water mixtures shows a maximum at almost 20 water mass percent. For some selected data points, the measured solubility by the FTIR is in good agreement with the corresponding solubility measured using the gravimetric method. Also the solubility in pure isopropanol and water is in reasonable agreement with the data reported in the literature.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".