Using surface plasmon resonance, capillary electrophoresis and diffusion-ordered NMR spectroscopy to study drug release kinetics

0575184 - ÚMCH 2024 RIV US eng J - Journal Article
Libánská, Alena - Špringer, Tomáš - Peštová, Lucie - Kotalík, Kevin - Konefal, Rafal - Šimonová, A. - Křížek, T. - Homola, Jiří - Randárová, Eva - Etrych, Tomáš
Using surface plasmon resonance, capillary electrophoresis and diffusion-ordered NMR spectroscopy to study drug release kinetics.
Communications Chemistry. Roč. 6, č. 1 (2023), č. článku 180. ISSN 2399-3669. E-ISSN 2399-3669
R&D Projects: GA MZd(CZ) NU20-08-00255; GA ČR(CZ) GJ19-00956Y; GA MŠMT LX22NPO5102
Institutional support: RVO:61389013 ; RVO:67985882
Keywords : polymer conjugate * drug release * HPMA
OECD category: Polymer science; Optics (including laser optics and quantum optics) (URE-Y)
Impact factor: 5.9, year: 2022
Method of publishing: Open access
https://www.nature.com/articles/s42004-023-00992-5

Nanomedicines, including polymer nanocarriers with controlled drug release, are considered next-generation therapeutics with advanced therapeutic properties and reduced side effects. To develop safe and efficient nanomedicines, it is crucial to precisely determine the drug release kinetics. Herein, we present application of analytical methods, i.e., surface plasmon resonance biosensor technology (SPR), capillary electrophoresis, and 1H diffusion-ordered nuclear magnetic resonance spectroscopy, which were innovatively applied for drug release determination. The methods were optimised to quantify the pH-triggered release of three structurally different drugs from a polymer carrier. The suitability of these methods for drug release characterisation was evaluated and compared using several parameters including applicability for diverse samples, the biological relevance of the experimental setup, method complexity, and the analysis outcome. The SPR method was the most universal method for the evaluation of diverse drug molecule release allowing continuous observation in the flow-through setting and requiring a small amount of sample.
Permanent Link: https://hdl.handle.net/11104/0345053