Evidence map›Paper›PMID 23765453›Full record

ArticleAAPS PharmSciTech2013

Cubic magnetically guided nanoaggregates for inhalable drug delivery: in vitro magnetic aerosol deposition study.

Doaa Mohamed Ragab, Sohrab Rohani

Open access · bronzeAbstract read
In one paragraph

Article in AAPS PharmSciTech, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 2 countries.

Doaa Mohamed RagabDepartment of Chemical and Biochemical Engineering, University of Western Ontario, 1151 Richmond Street, London, Ontario, Canada. ddoaamoh@uwo.ca
Sohrab Rohani
Western University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present work describes the in vitro aerosol deposition and enhanced deaggregation behavior of superparamagnetic iron oxide nanoaggregates (SPIONs). SPIONs were surface-coated with amine functionalized polyrotaxane and were proposed as a carrier for inhalation dry powders. Polyrotaxane is primarily composed of beta cyclodextrin rings which are spontaneously threaded on the block copolymer, poly(propylene glycol) bis(2-aminopropylether). Variable concentrations of surface coating polymers showed controlled manipulation of the crystal size and morphology. Magnetic nanoaggregates fabricated with low concentration of polyrotaxane showed cubic crystal morphology. However, these nanoaggregates exhibited rhombic dodecahedron crystal structure upon increasing the coating polymer concentration. In comparison to the spherical uncoated magnetic nanoparticles, cubic phase magnetic nanoaggregates demonstrated an enhanced in vitro aerosol deposition using magnetic field alignment. This enhancement can be accomplished at low inhalation flow rates (15 and 30 L/min). However, transformation to the cubic crystal structure was observed to be associated with a reduction in the powder geometric standard deviation. Using a mathematical modeling approach, we noted significant enhancement in the deaggregation behavior of inhalation dry powders; that can be achieved with small amounts of magnetic nanoaggregates. Aggregates of cubic nanoparticles showed promise for targeted pulmonary deposition of anticancer drugs.

Indexed as

Drug Delivery SystemsMagneticsNanoparticlesAdministration, InhalationAerosolsIn Vitro TechniquesMicroscopy, Electron, ScanningAerosols

Identifiers

PMID23765453
PMCPMC3755173
OpenAlexW2045081476

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.