Literature DB >> 25421933

An interlaboratory comparison of sizing and counting of subvisible particles mimicking protein aggregates.

Dean C Ripple1, Christopher B Montgomery, Zhishang Hu.   

Abstract

Accurate counting and sizing of protein particles has been limited by discrepancies of counts obtained by different methods. To understand the bias and repeatability of techniques in common use in the biopharmaceutical community, the National Institute of Standards and Technology has conducted an interlaboratory comparison for sizing and counting subvisible particles from 1 to 25 μm. Twenty-three laboratories from industry, government, and academic institutions participated. The circulated samples consisted of a polydisperse suspension of abraded ethylene tetrafluoroethylene particles, which closely mimic the optical contrast and morphology of protein particles. For restricted data sets, agreement between data sets was reasonably good: relative standard deviations (RSDs) of approximately 25% for light obscuration counts with lower diameter limits from 1 to 5 μm, and approximately 30% for flow imaging with specified manufacturer and instrument setting. RSDs of the reported counts for unrestricted data sets were approximately 50% for both light obscuration and flow imaging. Differences between instrument manufacturers were not statistically significant for light obscuration but were significant for flow imaging. We also report a method for accounting for differences in the reported diameter for flow imaging and electrical sensing zone techniques; the method worked well for diameters greater than 15 μm.
© 2014 Wiley Periodicals, Inc. and the American Pharmacists Association.

Entities:  

Keywords:  image analysis; imaging methods; light scattering; microparticles; particle size; physical characterization

Mesh:

Substances:

Year:  2014        PMID: 25421933     DOI: 10.1002/jps.24287

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  4 in total

1.  Variable Threshold Method for Determining the Boundaries of Imaged Subvisible Particles.

Authors:  Richard E Cavicchi; Cayla Collett; Srivalli Telikepalli; Zhishang Hu; Michael Carrier; Dean C Ripple
Journal:  J Pharm Sci       Date:  2017-02-15       Impact factor: 3.534

2.  Correcting the Relative Bias of Light Obscuration and Flow Imaging Particle Counters.

Authors:  Dean C Ripple; Zhishang Hu
Journal:  Pharm Res       Date:  2015-11-10       Impact factor: 4.200

3.  Evaluation of Microflow Digital Imaging Particle Analysis for Sub-Visible Particles Formulated with an Opaque Vaccine Adjuvant.

Authors:  Grant E Frahm; Alex W T Pochopsky; Tessa M Clarke; Michael J W Johnston
Journal:  PLoS One       Date:  2016-02-29       Impact factor: 3.240

4.  Development of orthogonal NISTmAb size heterogeneity control methods.

Authors:  Abigail Turner; Katharina Yandrofski; Srivalli Telikepalli; Jason King; Alan Heckert; James Filliben; Dean Ripple; John E Schiel
Journal:  Anal Bioanal Chem       Date:  2018-02-10       Impact factor: 4.142

  4 in total

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