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Record W6884427768 · doi:10.1021/am300878z.s001

Sustained Release of Heparin\non Enlarged-Pore and\nFunctionalized MCM-41

2016· article· en· W6884427768 on OpenAlexaff

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvanced Drug Delivery Systems
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsHeparinMesoporous materialControlled releaseAdsorptionPolymerSwellingAdhesiveMesoporous silica

Abstract

fetched live from OpenAlex

Mesoporous silica MCM-41 and SBA-15 were chosen to study\nthe adsorption\nand release of bulky biomolecule heparin, in order to develop new\nheparin controlled delivery system and expand the application of mesoporous\nmaterials in life science. To explore how the structure of support\nsuch as pore size and surface state affects the accommodation and\nrelease of heparin, we used decane as swelling agent to enlarge pores\nof MCM-41, introduced amino groups for improving the biocompatibility\nof support, and controllably retained templates in the as-synthesized\nsample. The influence of modification on the structure of samples\nwas investigated by XRD and N<sub>2</sub> adsorption–desorption,\nwhereas their performance of adsorbing and releasing heparin was assessed\nwith that of toluidine blue method. Both enlarged pore and organic\nmodification significantly promoted the adsorption and prolonged the\nrelease of heparin in MCM-41, and the release was characterized with\na three-stage release model. The mechanism of heparin release from\nmesoporous material was studied by fitting the release profiles to\nthe theoretical equation. As expected, some mesoporous composites\ncould release heparin in the long term with tuned dosage.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.1370.001

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 head0.094
GPT teacher head0.398
Teacher spread0.303 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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