Extracellular vesicles (EVs) have sparked tremendous interest owing to their prominent potential in diagnostics and therapeutics. Isolation of EVs from complex biological fluids with high purity is essential to the accurate analysis of EV cargo. Unfortunately, generally used isolation techniques do not offer good separation of EVs from non-EV contaminants. Hence, it is important to have a standardized method to characterise the properties of EV preparations, including size distribution, particle concentration, purity and phenotype. Employing a laboratory-built nano-flow cytometer (nFCM) that enables multiparameter analysis of single EVs as small as 40 nm, here we report a new benchmark to the quality and efficiency assessment of EVs isolated from plasma, one of the most difficult body fluids to work with. The performance of five widely used commercial isolation kits was examined and compared with the traditional differential ultracentrifugation (UC). Two to four orders of magnitude higher particle concentrations were observed for EV preparations from platelet-free plasma (PFP) by kits when compared with the EV preparation by UC, yet the purity was much lower. Meanwhile, the particle size distribution profiles of EV preparations by kits closely resembled those of PFP whereas the EV preparation by UC showed a broader size distribution at relatively large particle size. When these kits were used to isolate EVs from vesicle-depleted PFP (VD-PFP), comparable particle counts were obtained with their corresponding EV preparations from PFP, which confirmed again the isolation of a large quantity of non-vesicular contaminants. As CD9, CD63 and CD81 also exist in the plasma matrix, singleparticle phenotyping of EVs offers distinct advantage in the validation of EVs compared with ensemble-averaged approaches, such as Western blot analysis. nFCM allows us to compare different isolation techniques without prejudice.

Extracellular vesicles (EVs) have stimulated considerable scientific and clinical interest, yet protein profiling and sizing of individual EVs remains challenging due to their small particle size, low abundance of proteins, and overall heterogeneity. Building upon a laboratory-built high-sensitivity flow cytometer (HSFCM), we report here a rapid approach for quantitative multiparameter analysis of single EVs down to 40 nm with an analysis rate up to 10 000 particles per minute. Statistically robust particle size distribution was acquired in minutes with a resolution and profile well matched with those of cryo-TEM measurements. Subpopulations of EVs expressing CD9, CD63, and/or CD81 were quantified upon immunofluorescent staining. When HSFCM was used to analyze blood samples, a significantly elevated level of CD147-positive EVs was identified in colorectal cancer patients compared to healthy controls (P < 0.001). HSFCM provides a sensitive and rapid platform for surface protein profiling and sizing of individual EVs, which could greatly aid the understanding of EV-mediated intercellular communication and the development of advanced diagnostic and therapeutic strategies.

Ultrasensitive detection and characterization of single nanoparticles (<100 nm) is important in nanotechnology and life sciences. Direct measurement of the elastically scattered light from individual nanoparticles represents the simplest and the most direct method for particle detection. However, the sixth-power dependence of scattering intensity on particle size renders very small particles indistinguishable from the background. Adopting strategies for single-molecule fluorescence detection in a sheathed flow, here we report the development of high sensitivity flow cytometry (HSFCM) that achieves real-time light-scattering detection of single silica and gold nanoparticles as small as 24 and 7 nm in diameter, respectively. This unprecedented sensitivity enables high-resolution sizing of single nanoparticles directly based on their scattered intensity. With a resolution comparable to that of TEM and the ease and speed of flow cytometric analysis, HSFCM is particularly suitable for nanoparticle size distribution analysis of polydisperse/heterogeneous/mixed samples. Through concurrent fluorescence detection, simultaneous insights into the size and payload variations of engineered nanoparticles are demonstrated with two forms of clinical nanomedicine. By offering quantitative multiparameter analysis of single nanoparticles in liquid suspensions at a throughput of up to 10 000 particles per minute, HSFCM represents a major advance both in light-scattering detection technology and in nanoparticle characterization.