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Record W2126528763 · doi:10.1039/c5ce01148e

Confined crystallization of fenofibrate in nanoporous silica

2015· article· en· W2126528763 on OpenAlexfundno aff
Leia M. Dwyer, Vladimir K. Michaelis, Marcus O’Mahony, Robert G. Griffin, Allan S. Myerson

Bibliographic record

VenueCrystEngComm · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsnot available
FundersNational Institute of Biomedical Imaging and BioengineeringNovartis-MIT Center for Continuous ManufacturingNational Institutes of HealthNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsNanoporousFenofibrateCrystallizationMaterials scienceChemical engineeringNanotechnologyMedicineInternal medicineEngineering

Abstract

fetched live from OpenAlex

Producing stable nanocrystals confined to porous excipient media is a desirable way to increase the dissolution rate and improve the bioavailability of poorly water soluble pharmaceuticals. The poorly soluble pharmaceutical fenofibrate was crystallized in controlled pore glass (CPG) of 10 different pore sizes between 12 nm and 300 nm. High drug loadings of greater than 20 wt% were achieved across all pore sizes greater than 20 nm. Nanocrystalline fenofibrate was formed in pore sizes greater than 20 nm and showed characteristic melting point depressions following a Gibbs-Thomson relationship as well as enhanced dissolution rates. Solid-state Nuclear Magnetic Resonance (NMR) was employed to characterize the crystallinity of the confined molecules. These results help to advance the fundamental understanding of nanocrystallization in confined pores.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 head0.027
GPT teacher head0.243
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), 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

Citations71
Published2015
Admission routes1
Has abstractyes

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