Hydrolytic polysorbate 20 degradation – Sensitive detection of free fatty acids in biopharmaceuticals via UPLC-QDa analytics with isolator column

[Display omitted] •UPLC-QDa method to quantify fatty acids in biologics containing polysorbate 20.•Determine fatty acid concentrations via polysorbate CoA and laurate calibration.•Case studies: three biologics induce specific fatty acid release patterns over time. The enzymatic hydrolysis of polysor...

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Veröffentlicht in:Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Analytical technologies in the biomedical and life sciences, 2021-06, Vol.1174, p.122717, Article 122717
Hauptverfasser: Evers, Dirk-H., Carle, Stefan, Lakatos, Daniel, Hämmerling, Frank, Garidel, Patrick, Buske, Julia
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Sprache:eng
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Zusammenfassung:[Display omitted] •UPLC-QDa method to quantify fatty acids in biologics containing polysorbate 20.•Determine fatty acid concentrations via polysorbate CoA and laurate calibration.•Case studies: three biologics induce specific fatty acid release patterns over time. The enzymatic hydrolysis of polysorbates, e.g. induced by specific host cell proteins in biologics, is a known risk factor regarding the potential particle formation in the product over time. One of the root causes for this observation is an increase in free fatty acids (FA) within the formulation, which indicates the need for convenient monitoring of FA release. This study presents a novel UPLC-QDa based method to evaluate the content of the FAs esterified to polysorbate 20 (PS20) after hydrolysis. The presented method is label-free, i.e. independent of elaborate fluorophore-labeling and able to directly measure the ionized FAs. Furthermore, the method allows the determination of released FAs as percentage of ester bond hydrolysis and as absolute concentration expressed in ng/mL. Additionally, we describe for the first time in FA analytics the application of an isolator column, to remove trace levels of FAs present in the eluents to improve the sensitivity of the method. Lastly, the capabilities of the newly developed method are proven in case studies with three different monoclonal antibodies, which display characteristic FA release patterns in PS20-containing formulations. In summary, we developed a reliable, sensitive method for FA quantification in biologics, which could also be used as a predictive tool, considering FA solubility, regarding the formation of particles.
ISSN:1570-0232
1873-376X
DOI:10.1016/j.jchromb.2021.122717