MétaCan
Menu
Back to cohort
Record W2325730070 · doi:10.1021/am4029894

Controlled and Triggered Small Molecule Release from a Confined Polymer Film

2013· article· en· W2325730070 on OpenAlexaff
Yongfeng Gao, Gustavo P. Zago, Zhanghu Jia, Michael J. Serpe

Bibliographic record

VenueACS Applied Materials & Interfaces · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHydrogels: synthesis, properties, applications
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceLayer (electronics)PolymerProtonationMoleculeChemical engineeringLayer by layerAcrylic acidCoatingControlled releaseNanotechnologyPolymer chemistryIonComposite materialOrganic chemistryChemistryCopolymer

Abstract

fetched live from OpenAlex

A device composed of a poly (N-isopropylacrylamide)-co-acrylic acid (pNIPAm-co-AAc) microgel layer sandwiched between two thin Au layers (all on a glass support) was used as a novel platform for controlled and triggered small molecule delivery. Tris (4-(dimethylamino)phenyl)methylium chloride (Crystal Violet, CV), which is positively charged, was loaded into the microgel layer of the device and released in a pH dependent fashion, at a rate that could be controlled by the thickness of the Au layer coating the microgels. Specifically, at pH 6.5 (above the pKa for AAc) the microgels were negatively charged, promoting the strong interaction between the CV and the microgels, hindering its release from the layer. At pH 3.0 the microgel's AAc groups are protonated making the microgel mostly neutral, allowing CV to be released from the microgel layer at a rate that depends on the thickness of the Au covering the microgels. Specifically, devices with thin Au overlayers on the microgel layer allow CV to be released from the device faster than devices with thick Au overlayers. The ability to tune the release rate with pH and Au layer thickness is advantageous for developing implantable devices that are capable of releasing small molecule drugs in a triggered and controlled fashion.

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 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 score0.002
Threshold uncertainty score1.000

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)0.0010.000

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 head0.011
GPT teacher head0.210
Teacher spread0.200 · 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

Citations49
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueACS Applied Materials & InterfacesSame topicHydrogels: synthesis, properties, applicationsFrench-language works237,207