Low-Vacuum Filtration as an Alternative Extracellular Vesicle Concentration Method: A Comparison with Ultracentrifugation and Differential Centrifugation

• Main Authors: Anna Drożdż (Author), Agnieszka Kamińska (Author), Magdalena Surman (Author), Agnieszka Gonet-Surówka (Author), Robert Jach (Author), Hubert Huras (Author), Małgorzata Przybyło (Author), Ewa Łucja Stępień (Author)
• Format: Book
• Published: MDPI AG, 2020-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.3390/pharmaceutics12090872; 1999-4923
• Keywords: dialysis membrane; ectosomes; exosomes; FTIR; infrared spectroscopy; purification; Pharmacy and materia medica; RS1-441
• Source: Pharmaceutics, Vol 12, Iss 9, p 872 (2020)

Recent years have brought great focus on the development of drug delivery systems based on extracellular vesicles (EVs). Considering the possible applications of EVs as drug carriers, the isolation process is a crucial step. To solve the problems involved in EV isolation, we developed and validated a new EV isolation method-low-vacuum filtration (LVF)-and compared it with two commonly applied procedures-differential centrifugation (DC) and ultracentrifugation (UC). EVs isolated from endothelial cell culture media were characterized by (a) Transmission Electron Microscopy (TEM), (b) Nanoparticle Tracking Analysis (NTA), (c) Western blot and (d) Attenuated Total Reflection Fourier-Transform Infrared Spectroscopy (ATR-FTIR). Additionally, the membrane surface was imaged with Environmental Scanning Electron Microscopy (ESEM). We found that LVF was a reproducible and efficient method for EV isolation from conditioned media. Additionally, we observed a correlation between ATR-FTIR spectra quality and EV and protein concentration. ESEM imaging confirmed that the actual pore diameter was close to the values calculated theoretically. LVF is an easy, fast and inexpensive EV isolation method that allows for the isolation of both ectosomes and exosomes from high-volume sources with good repeatability. We believe that it could be an efficient alternative to commonly applied methods.