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Record W1997012847 · doi:10.1021/la1026224

Phase Behavior of Ketoprofen−Poly(lactic acid) Drug Particles Formed by Rapid Expansion of Supercritical Solutions

2010· article· en· W1997012847 on OpenAlexaff
Muhammad Imran ul‐haq, Egor Chasovskikh, Ruth Signorell

Bibliographic record

VenueLangmuir · 2010
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSupercritical fluidAmorphous solidLactic acidChemical engineeringNaproxenKetoprofenDissolutionMicronizationSolubilityMaterials sciencePhase (matter)Particle sizeChemistryOrganic chemistryChromatography

Abstract

fetched live from OpenAlex

The present contribution investigates whether it is possible to form stable amorphous particles of ketoprofen-poly(lactic acid), naproxen-poly(lactic acid), and indomethacin-poly(lactic acid). Amorphization and micronization of these poorly water-soluble drugs offer a combined way to improve the solubility and enhance the dissolution rate. The particles were formed by pulsed rapid expansion of supercritical CO(2) solutions and characterized in the aerosol phase with rapid-scan infrared spectroscopy and after collection with scanning electron microscopy and X-ray diffraction. None of the three drug-poly(lactic acid) mixtures showed long-term stability on the order of weeks against the reversion from the amorphous to the crystalline state. Ketoprofen was the only drug that formed mixed amorphous particles with at least short-term stability. The long-term products turned out to be submicrometer- to micrometer-sized particles with a crystalline drug core and an amorphous poly(lactic acid) shell. Moreover, we found that the poly(lactic acid) coating stabilizes the particles against agglomeration.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.421

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.259
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations10
Published2010
Admission routes1
Has abstractyes

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