Evidence map›Paper›PMID 24788354›Full record

ArticleJournal of pharmaceutical sciences2014

NanoClusters surface area allows nanoparticle dissolution with microparticle properties.

Christopher Kuehl, Nashwa El-Gendy, Cory Berkland

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmaceutical sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

3 authors at 1 institution in 1 country.

Christopher KuehlDepartment of Pharmaceutical Chemistry, The University of Kansas, Lawrence, Kansas, 66047.
Nashwa El-Gendy
Cory Berkland
University of Kansas · US

Funding

TRAINING GRANT IN DYNAMIC ASPECTS OF CHEMICAL BIOLOGYT32GM008545 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI LAMB, AUDREY L · 1994 to 2019
$4.9M
NIGMS NIH HHS T32 GM008545NIGMS NIH HHS T32-GM08545
6 · The paper itself

Abstract

Poorly water-soluble drugs comprise the majority of new drug molecules. Nanoparticle agglomerates, called NanoClusters, can increase the dissolution rate of poorly soluble compounds by increasing particle surface area. Budesonide and danazol, two poorly soluble steroids, were studied as model compounds. NanoCluster suspensions were made using a Netzsch MiniCer media mill with samples collected between 5 and 15 h and lyophilized. Differential scanning calorimetry (DSC) and powder X-ray Diffraction were used to evaluate the physicochemical properties of the powders, and Brunauer, Emmett and Teller (BET) analysis was used to determine surface area. Scanning electron microscopy confirmed NanoClusters were between 1 and 5 μm. NanoCluster samples showed an increase in dissolution rate compared with the micronized stock and similar to a dried nanoparticle suspension. BET analysis determined an increase in surface area of eight times for budesonide NanoClusters and 10-15 times for danazol NanoClusters compared with the micronized stock. Melting temperatures decreased with increased mill time of NanoClusters by DSC. The increased surface area of NanoClusters provides a potential micron-sized alternative to nanoparticles to increase dissolution rate of poorly water-soluble drugs.

Indexed as

NanoparticlesSurface PropertiesMicroscopy, Electron, ScanningPowder DiffractionSolubilitybudesonidedanazoldissolutiondrug deliverymicroparticlesNanoClustersnanoparticlespowder technology

Identifiers

PMID24788354
PMCPMC4943340
OpenAlexW2060765824

What OpenQuestion holds

Textmetadata
LicenceTDM
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.