Charged aerosol detector HPLC as a characterization and quantification application of biopharmaceutically relevant polysialic acid from E. coli K1.


Journal

Journal of chromatography. A
ISSN: 1873-3778
Titre abrégé: J Chromatogr A
Pays: Netherlands
ID NLM: 9318488

Informations de publication

Date de publication:
16 Aug 2019
Historique:
received: 29 01 2019
revised: 28 03 2019
accepted: 31 03 2019
pubmed: 10 4 2019
medline: 30 6 2019
entrez: 10 4 2019
Statut: ppublish

Résumé

Polysialic acid (polySia) is widely investigated in various biopharmaceutical applications (e.g. treatment of inflammatory neurodegenerative diseases), whereby a certain polySia chain length with an average degree of polymerization 20 (polySia avDP20) shows most promising effects. In this study, a rapid analytical method using a HPLC and charged aerosol detector (CAD) for the direct chain length characterization of biopharmaceutically relevant polySia was developed. It was evaluated as a fast alternative to the commonly used 1,2-diamino-4,5-methylenedioxybenzene (DMB) HPLC application. In contrast to HPLC-FLD, the CAD-application provides the actual chain length of polySia within ∼3 h. The reliability of the HPLC-CAD was evaluated with a commercial reference sample of known chain length and biotechnologically produced LC polySia (long chain polySia with a DP ∼130). Moreover, HPLC-CAD was successfully applied in the direct detection of oligo- and polySia until DP ∼65 and can be used to monitor the thermal hydrolysis and subsequent chromatographic isolation of polySia avDP20 (average degree of polymerization 20) without DMB sample derivatization. In addition, CAD was successfully applied for polySia quantification using a modified elution gradient. It was tested as a fast alternative to commonly used thiobarbituric acid (TBA) assay. A differentiation between LC polySia and smaller, hydrolysed polySia chains was intended and possible. For LC polySia and polySia avDP20, a quadratic relation between polySia mass-concentration and CAD signal was observed. In case of LC polySia, a quadratic dependency with a determination coefficient of R

Identifiants

pubmed: 30961966
pii: S0021-9673(19)30353-X
doi: 10.1016/j.chroma.2019.03.069
pii:
doi:

Substances chimiques

Aerosols 0
Sialic Acids 0
polysialic acid 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

85-94

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Daniel Boßmann (D)

Institute of Technical Chemistry, Leibniz University Hannover, Hannover, Germany.

Bastian Bartling (B)

Institute of Technical Chemistry, Leibniz University Hannover, Hannover, Germany.

Ingo de Vries (I)

Institute of Technical Chemistry, Leibniz University Hannover, Hannover, Germany.

Jonas Winkler (J)

Institute of Reconstructive Neurobiology, University of Bonn, Bonn, Germany.

Harald Neumann (H)

Institute of Reconstructive Neurobiology, University of Bonn, Bonn, Germany.

Frank Lammers (F)

Sanofi-Aventis Deutschland GmbH, Industriepark Hoechst, Frankfurt am Main, Germany.

Sascha Beutel (S)

Institute of Technical Chemistry, Leibniz University Hannover, Hannover, Germany. Electronic address: beutel@iftc.uni-hannover.de.

Thomas Scheper (T)

Institute of Technical Chemistry, Leibniz University Hannover, Hannover, Germany.

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Classifications MeSH