Literature DB >> 24333642

Arginine as an eluent for automated on-line Protein A/size exclusion chromatographic analysis of monoclonal antibody aggregates in cell culture.

Sean Wang1, Anil Raghani2.   

Abstract

An automated two-dimensional method using Protein A chromatography followed by size exclusion HPLC was developed for analysis of aggregates of monoclonal antibodies in mammalian cell culture samples. The method development was intended to address the analysis of IgG2 monoclonal antibody products that are particularly prone to aggregation at pH<3.5. An aqueous solution of sodium phosphate at pH 4.3 containing arginine was demonstrated in this work as an excellent eluent for Protein A chromatography. In addition, the arginine solution is a compatible mobile phase for the analysis of these samples by size exclusion HPLC, separating aggregates from the monomer of the monoclonal antibody. The effect of arginine concentration in the eluent on parameters such as protein recovery from Protein A chromatography and resolution of aggregates from the monomer are reported. The developed method was shown to provide accuracy of reported aggregates greater than 98%, and intermediate precision of 4.4% RSD. The method limit of quantitation for aggregates was determined to be 0.1%. Application of the method is demonstrated for analysis of aggregates in cell culture samples to aid in the development of cell culture conditions for the production of antibodies.
Copyright © 2013 Elsevier B.V. All rights reserved.

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Keywords:  Aggregates; Arginine; Monoclonal antibody; Protein A chromatography; Size-exclusion HPLC

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Year:  2013        PMID: 24333642     DOI: 10.1016/j.jchromb.2013.11.027

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  1 in total

1.  High-capacity protein A affinity chromatography for the fast quantification of antibodies: Two-wavelength detection expands linear range.

Authors:  Peter Satzer; Alois Jungbauer
Journal:  J Sep Sci       Date:  2018-02-07       Impact factor: 3.645

  1 in total

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