| Literature DB >> 29409841 |
Richard E Cavicchi1, Jason King2, Dean C Ripple3.
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/cm3 as the size increased from 1.37 to 4.9 μm. Published by Elsevier Inc.Entities:
Keywords: flow imaging; image analysis; microscopy; particle sizing; physical characterization; protein aggregates
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Year: 2018 PMID: 29409841 PMCID: PMC6348865 DOI: 10.1016/j.xphs.2018.01.013
Source DB: PubMed Journal: J Pharm Sci ISSN: 0022-3549 Impact factor: 3.534