Quantitative analysis of virus-like particle size and distribution by field-flow Fractionation

Chuan, Y. P., Fan, Y. Y., Lua, L. and Middelberg, A. P. J. (2008) Quantitative analysis of virus-like particle size and distribution by field-flow Fractionation. Biotechnology and Bioengineering, 99 6: 1425-1433. doi:10.1002/bit.21710

Author Chuan, Y. P.
Fan, Y. Y.
Lua, L.
Middelberg, A. P. J.
Title Quantitative analysis of virus-like particle size and distribution by field-flow Fractionation
Journal name Biotechnology and Bioengineering   Check publisher's open access policy
ISSN 0006-3592
Publication date 2008-04-15
Year available 2008
Sub-type Article (original research)
DOI 10.1002/bit.21710
Volume 99
Issue 6
Start page 1425
End page 1433
Total pages 9
Editor Clark, D. S.
Place of publication United States
Publisher John Wiley & Sons, Inc.
Collection year 2009
Language eng
Subject 100799 Nanotechnology not elsewhere classified
970103 Expanding Knowledge in the Chemical Sciences
09 Engineering
0904 Chemical Engineering
Abstract Asymmetric flow field-flow fractionation (AFFFF) coupled with multiple-angle light scattering (MALS) is a powerful technique showing potential for the analysis of pharmaceutically-relevant virus-like particles (VLPs). A lack of published methods, and concerns that membrane adsorption during sample fractionation may cause sample aggregation, have limited widespread acceptance. Here we report a reliable optimized method for VLP analysis using AFFFF-MALS, and benchmark it against dynamic light scattering (DLS) and transmission electron microscopy (TEM). By comparing chemically identical VLPs having very different quaternary structure, sourced from both bacteria and insect cells, we show that optimized AFFFF analysis does not cause significant aggregation, and that accurate size and distribution information can be obtained for heterogeneous samples in a way not possible with TEM and DLS. Optimized AFFFF thus provides a quantitative way to monitor batch consistency for new vaccine products, and rapidly provides unique information on the whole population of particles within a sample.
Keyword Field-Flow Fractionation
Membrane Adsorption
Size Distribution
Virus-Like Particles
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
Australian Institute for Bioengineering and Nanotechnology Publications
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Citation counts: TR Web of Science Citation Count  Cited 51 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 55 times in Scopus Article | Citations
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Created: Fri, 17 Apr 2009, 10:59:55 EST by Amanda Lee on behalf of Aust Institute for Bioengineering & Nanotechnology