Impact of process variables on the micromeritic and physicochemical properties of spray-dried porous microparticles, part I: introduction of a new morphology classification system
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: This work investigated the impact of spray drying variables such as feed concentration, solvent composition and the drying mode, on the micromeritic properties of chlorothiazide sodium (CTZNa) and chlorothiazide potassium (CTZK). METHODS: Microparticles were prepared by spray drying and characterised using thermal analysis, helium pycnometry, laser diffraction, specific surface area analysis and scanning electron microscopy. KEY FINDINGS: Microparticles produced under different process conditions presented several types of morphology. To systematise the description of morphology of microparticles, a novel morphology classification system was introduced. The shape of the microparticles was described as spherical (1) or irregular (2) and the surface was classified as smooth (A) or crumpled (B). Three classes of morphology of microparticles were discerned visually: class I, non-porous; classes II and III, comprising differing types of porosity characteristics. The interior was categorised as solid/continuous (α), hollow (β), unknown (γ) and hollow with microparticulate content (δ). Nanoporous microparticles of CTZNa and CTZK, produced without recirculation of the drying gas, had the largest specific surface area of 72.3 and 90.2 m²/g, respectively, and presented morphology of class 1BIIIα. CONCLUSIONS: Alteration of spray drying process variables, particularly solvent composition and feed concentration can have a significant effect on the morphology of spray dried microparticulate products. Morphology of spray dried particles may be usefully described using the morphology classification system.
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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 | 0.000 |
| 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) | 0.000 | 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 it