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Record W2390159753

Preparation of Andrographis paniculata Extract Solid Dispersion by Hot-melt Extrusion Technology

2014· article· en· W2390159753 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZhongguo yaofang · 2014
Typearticle
Languageen
FieldMedicine
TopicAndrographolide Research and Applications
Canadian institutionsCentre for Drug Research and Development
Fundersnot available
KeywordsAndrographis paniculataDispersion (optics)Materials scienceDissolutionExtrusionAmorphous solidChromatographySolubilityChemistryNuclear chemistryOrganic chemistryComposite materialMedicine
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE:To prepare Andrographis paniculata extract solid dispersion by using hot-melt extrusion(HME)technology,and to evaluate it in vitro. METHODS:The type of hydrophilic carrier and the proprotion of A. paniculata extract to carrier were screened by single factor test using andrographolide and dehydroandrographolide as index. The preparation technology of A.paniculata extract solid dispersion was optimized. The dissolution rate in vitro was studied,and DSC,SEM,X-ray diffraction were used to analyze the solid dispersion. RESULTS:The optimal technology of A. paniculata extract solid dispersion by HME were as follows:chosing polyethylene caprolactam-polyvinyl acetate-soluplus as the carrier;the ratio of A. paniculata extract to soluplus was 1 ∶ 2(m/m);the temperate-rasing program of HME should be 130→135→140→130 ℃;the rotation rate of screw arbor was 27r/min,feeding speed was 15 g/min. The results of physicochemical characterization experiment indicated that A. paniculata extract were in amorphous state in solid dispersion by HME. CONCLUSIONS:HME can disperse A. paniculata extract in amorphous state,and improve its solubility.

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.

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 score0.266
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.333
Teacher spread0.322 · 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