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Record W2559688235 · doi:10.1021/acs.langmuir.6b03679

Visible and Near-Infrared Plasmon-Mediated Molecular Release from Cucurbit[6]uril Mesoporous Gated Systems

2016· article· en· W2559688235 on OpenAlexafffund
Daniela T. Marquez, J. C. Scaiano

Bibliographic record

VenueLangmuir · 2016
Typearticle
Languageen
FieldChemistry
TopicSupramolecular Chemistry and Complexes
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsCanada Foundation for Innovation
KeywordsMesoporous materialNanorodControlled releaseDrug deliveryChemistryNanoparticlePlasmonNanotechnologyMaterials scienceSurface plasmon resonanceCombinatorial chemistryChemical engineeringOptoelectronicsOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Several hybrid mesoporous materials were synthesized in order to obtain a drug/cargo delivery system in which it is possible to control both the start and rate of the cargo release via surface plasmon (SPR) excitation. The successful incorporation of a thermoresponsive gate based on a cucurbit[6]uril-hexamethylene diamine (CB6-Hex) host-guest complex conferred the system with the desired "zero" premature release. This feature combined with the incorporation of gold nanorods (AuNR) and gold nanoparticles (AuNP) capable of acting as a heat source upon SPR excitation enabled a controlled cargo release system active to green and NIR irradiation. The results obtained prove that it is possible to disassemble the CB6-Hex gate complex in a few minutes using either green or NIR irradiation in order to activate the system and start the release process (that can take hours), as well as to further control the diffusion of Naproxen as a model drug.

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 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 score0.113
Threshold uncertainty score0.929

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 head0.006
GPT teacher head0.196
Teacher spread0.190 · 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.

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

Citations8
Published2016
Admission routes2
Has abstractyes

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