Back to Search Start Over

Novel RP-HPLC based assay for selective and sensitive endotoxin quantification

Authors :
Bucsella, Blanka
Hoffmann, Anika
Zollinger, Mathieu
Stephan, Fabio
Pattky, Martin
Daumke, Ralph
Heiligtag, Florian J.
Frank, Brian
Bassas-Galia, Mònica
Zinn, Manfred
Kalman, Franka
Source :
Analytical Methods; 2020, Vol. 12 Issue: 38 p4621-4634, 14p
Publication Year :
2020

Abstract

The paper presents a novel instrumental analytical endotoxin quantification assay. It uses common analytical laboratory equipment (HPLC-FLD) and allows quantifying endotoxins (ETs) in different matrices from about 109EU per mL down to about 40 EU per mL (RSE based). Test results are obtained in concentration units (e.g.ng ET per mL), which can then be converted to commonly used endotoxin units (EU per mL) in case of known pyrogenic activity. During endotoxin hydrolysis, the endotoxin specific rare sugar acid KDO is obtained quantitatively. After that, KDO is stoichiometrically reacted with DMB, which results in a highly fluorescent derivative. The mixture is separated using RP-HPLC followed by KDO-DMB quantification with a fluorescence detector. Based on the KDO content, the endotoxin content in the sample is calculated. The developed assay is economic and has a small error. Its applicability was demonstrated in applied research. ETs were quantified in purified bacterial biopolymers, which were produced by Gram-negative bacteria. Results were compared to LAL results obtained for the same samples. A high correlation was found between the results of both methods. Further, the new assay was utilized with high success during the development of novel endotoxin specific depth filters, which allow efficient, economic and sustainable ET removal during DSP. Those examples demonstrate that the new assay has the potential to complement the animal-based biological LAL pyrogenic quantification tests, which are accepted today by the major health authorities worldwide for the release of commercial pharmaceutical products.

Details

Language :
English
ISSN :
17599660 and 17599679
Volume :
12
Issue :
38
Database :
Supplemental Index
Journal :
Analytical Methods
Publication Type :
Periodical
Accession number :
ejs54366445
Full Text :
https://doi.org/10.1039/d0ay00872a