Investigation of solid–liquid equilibrium of stevioside in different pure and binary mix solvents at various temperatures
Bibliographic record
Abstract
The solubility of stevioside (a natural sweetener) in 12 pure solvents (methanol, 1-propanol, 2-propanol, 1-buthanol, 2-buthanol, 1-pentanol, 2-pentanol, 2-ethoxyethanol, 2-propoxyethanol, 2-buthoxyethanol, water, and acetone) and in binary mixed solvents (2-ethoxyethanol + water) have been determined using high performance liquid chromatography (HPLC) method at temperatures ranging from 288.15 to 328.15 K and atmospheric pressure. From the experimental data, it was found that the solubility increased with the rising temperature in all selected solvents. The experimental data for the solubility of stevioside were correlated with Apelblat and non-random two-liquid (NRTL) models. It was found that the Apelblat model has the better quality in fitting the solubility data. Also, thermodynamic functions of dissolution, mixing and transfer process were calculated by the van’t Hoff equation. Furthermore, the crystal habits of stevioside in selected solvents were studied.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".