Evidence map›Paper›PMID 29409841›Full record

ArticleJournal of pharmaceutical sciences2018

Measurement of Average Aggregate Density by Sedimentation and Brownian Motion Analysis.

Richard E Cavicchi, Jason King, Dean C Ripple

Open access · greenAbstract read
In one paragraph

Article in Journal of pharmaceutical sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Criterion for Assessing Accumulated Neurotoxicity of Alpha-Synuclein Oligomers in Parkinson's Disease.International journal for numerical methods in biomedical engineering · 2025
    Article
  5. 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

3 authors at 2 institutions in 1 country.

Richard E CavicchiBioprocess Measurements Group, National Institute of Standards and Technology, Gaithersburg, Maryland 20899. Electronic address: rcavicchi@nist.gov.
Jason KingBioprocess Measurements Group, National Institute of Standards and Technology, Gaithersburg, Maryland 20899; XSOLIS, Nashville, Tennessee 37217.
Dean C RippleBioprocess Measurements Group, National Institute of Standards and Technology, Gaithersburg, Maryland 20899.
National Institute of Standards and Technology · USMaterial Measurement Laboratory · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

The spatially averaged density of protein aggregates is an important parameter that can be used to relate size distributions measured by orthogonal methods, to characterize protein particles, and perhaps to estimate the amount of protein in aggregate form in a sample. We obtained a series of images of protein aggregates exhibiting Brownian diffusion while settling under the influence of gravity in a sealed capillary. The aggregates were formed by stir-stressing a monoclonal antibody (NISTmAb). Image processing yielded particle tracks, which were then examined to determine settling velocity and hydrodynamic diameter down to 1 μm based on mean square displacement analysis. Measurements on polystyrene calibration microspheres ranging in size from 1 to 5 μm showed that the mean square displacement diameter had improved accuracy over the diameter derived from imaged particle area, suggesting a future method for correcting size distributions based on imaging. Stokes' law was used to estimate the density of each particle. It was found that the aggregates were highly porous with density decreasing from 1.080 to 1.028 g/cm

Indexed as

Protein AggregatesAntibodies, MonoclonalDiffusionEquipment DesignHydrodynamicsImage Processing, Computer-AssistedMicroscopyMicrospheresMotionParticle SizePolystyrenesPorosityAntibodies, MonoclonalPolystyrenesProtein Aggregatesflow imagingimage analysismicroscopyparticle sizingphysical characterizationprotein aggregates

Identifiers

PMID29409841
PMCPMC6348865
OpenAlexW2787708991

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.