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Record W2804212354 · doi:10.1039/c8ra02334d

Immediate separation of microneedle tips from base array during skin insertion for instantaneous drug delivery

2018· article· en· W2804212354 on OpenAlexaff
Hyesun Jun, Myun-Hwan Ahn, In‐Jeong Choi, Seung‐Ki Baek, Jung‐Hwan Park, Seong‐O Choi

Bibliographic record

VenueRSC Advances · 2018
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsQUAD Engineering (Canada)
FundersMinistry of SMEs and Startups
KeywordsPolycaprolactoneBase (topology)Materials scienceBiomedical engineeringAdhesionDrug deliveryNanotechnologyComposite materialMedicinePolymer

Abstract

fetched live from OpenAlex

skin insertion tests showed successful separation of the tips from the base array upon insertion, regardless of the presence of a wall on the stand. However, only IRMNs-SWS were deeply embedded within the skin. Mechanical testing results demonstrated that the presence of a wall on the base enhanced the mechanical stability of the IRMNs. The wall also provided adequate adhesion between the tips and base, preventing the tips from breaking during insertion, while allowing the needle tip to separate upon removal. Histological examination confirmed that the tips were successfully separated from the base, embedded in the skin, and released fluorescent dyes within the skin. Our results suggest that the IRMN system is promising for the rapid and accurate delivery of various molecules through the skin, while improving user convenience by eliminating the need to attach microneedles to the skin.

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 score0.066
Threshold uncertainty score0.986

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)0.0000.000

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 head0.044
GPT teacher head0.386
Teacher spread0.342 · 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

Citations47
Published2018
Admission routes1
Has abstractyes

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