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Characterization of the Physicochemical Properties of β-Cyclodextrin–Divinyl Sulfone Polymer Carrier–Bile Acid Systems

2017· article· en· W2598334273 on OpenAlexafffund
Mohamed H. Mohamed, Chen Wang, Kerry M. Peru, John V. Headley, Lee D. Wilson

Bibliographic record

VenueMolecular Pharmaceutics · 2017
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug Solubulity and Delivery Systems
Canadian institutionsEnvironment and Climate Change CanadaUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Saskatchewan
KeywordsCyclodextrinSulfoneChemistryPolymerCharacterization (materials science)Bile acidOrganic chemistryPolymer chemistryMaterials scienceNanotechnologyBiochemistry

Abstract

fetched live from OpenAlex

Herein, we report on the systematic design and characterization of cross-linked polymer carriers containing β-cyclodextrin (β-CD) and divinyl sulfone (DVS). The polymer carriers were prepared at variable feed ratios (β-CD–DVS; 1:1, 1:2, 1:3, and 1:6) and characterized using spectroscopy (IR, 1 H solution NMR, and 13 C CP-MAS solids NMR spectroscopy), thermogravimetric analysis (TGA), scanning electron microscopy (SEM), and a dye decolorization method using phenolphthalein. Uptake studies were carried out at pH 9.00 for the polymer carriers using single component bile acids (cholic acid, deoxycholic acid, glycodeoxycholic acid, and taurodeoxycholic acid). Equilibrium uptake results were evaluated by the Langmuir isotherm model where variable equilibrium parameters were related to the relative apolar character of the bile acid. The Langmuir model yields a carrier/bile acid binding affinity of ∼10 3 M –1 where the lipophilic inclusion sites of the polymer play a prominent role, while the DVS linker framework sites have a lower adsorption affinity, in accordance with the greater hydrophilic character of such sites.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.365
Teacher spread0.277 · 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.

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

Citations7
Published2017
Admission routes2
Has abstractyes

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