MétaCan
Menu
Back to cohort
Record W2526929288 · doi:10.11159/icnfa16.108

Comparative Human Skin Permeation Study on Nanocarriers for Potential Transdermal Delivery of Progesterone

2016· article· en· W2526929288 on OpenAlexvenueno aff
Nazik A. Elgindy, Salma M. Mohyeldin, Mohammed M. Mehanna

Bibliographic record

VenueProceedings of the World Congress on New Technologies · 2016
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsnot available
Fundersnot available
KeywordsTransdermalNanocarriersPermeationChemistryPharmacologyDrug deliveryMedicineMembraneBiochemistry

Abstract

fetched live from OpenAlex

This study is the first attempt to directly compare the ability of several nanocarrier formulations to deliver progesterone into the skin. Four progesterone-loaded nanocarriers; cubosomes [1], nanoliposomes [2], nanoemulsions [3] and polymeric nanomicelles [4] were formulated and characterized regarding particle size, zeta potential, % drug encapsulation, loading capacity and in-vitro release. The aim of the current investigation is to explore the feasibility of various nanocarriers to enhance the penetration of progesterone via the full thickness of human abdominal skin. Structural elucidation of each nanoplatform was performed using the Transmission electron microscope. Each nanocarrier was fabricated with a negative surface, nanometric size ( 270 nm), narrow size distribution and reasonable encapsulation capacity. The in-vitro progesterone release showed a sustained release pattern for 24 h following a non-fickian transport diffusion mechanism. Ex-vivo skin permeation, deposition ability and histopathological examination were evaluated using Franz diffusion cells.

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 score0.060
Threshold uncertainty score0.783

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.091
GPT teacher head0.408
Teacher spread0.317 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the World Congress on New TechnologiesSame topicAdvancements in Transdermal Drug DeliveryFrench-language works237,207