Abstract
© Copyright © 2020 Zendrini, Paolini, Busatto, Radeghieri, Romano, Wauben, van Herwijnen, Nejsum, Borup, Ridolfi, Montis and Bergese.This protocol paper describes how to assign a purity grade and to subsequently titrate extracellular vesicle (EV) solutions of a few microliters in volume by microplate COlorimetric NANoplasmonic (CONAN) assay. The CONAN assay consists of a solution of gold nanoparticles (AuNPs) into which the EV preparation is added. The solution turns blue if the EV preparation is pure, whereas it stays red if soluble exogenous single and aggregated proteins (SAPs; often referred to as protein contaminants) are present. The color change is visible by the naked eye or can be quantified by UV-Vis spectroscopy, providing an index of purity (a unique peculiarity to date). The assay specifically targets SAPs, and not the EV-related proteins, with a detection limit <50 ng/μl (an order of magnitude higher resolution than that of the Bradford protein assay). For pure solutions, the assay also allows for determining the EV number, as the color shift is linearly dependent on the AuNP/EV molar ratio. Instead, it automatically reports if the solution bears SAP contaminants, thus avoiding counting artifacts. The CONAN assay proves to be robust and reliable and displays very interesting performances in terms of cost (inexpensive reagents, run by standard microplate readers), working volumes (1–2 μl of sample required), and time (full procedure takes <1 h). The assay is applicable to all classes of natural and artificial lipid microvesicles and nanovesicles.
| Original language | English |
|---|---|
| Article number | 452 |
| Journal | Frontiers in Bioengineering and Biotechnology |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 12 Feb 2020 |
| Externally published | Yes |
Funding
The authors also thank the SPM@ISMN facility for the support in the AFM experiments. Funding. This work was supported by the Center for Colloid and Surface Science (CSGI), Aarhus University and Utrecht University through the evFOUNDRY project, Horizon 2020-Future and emerging technologies (H2020-FETOPEN), ID: 801367.
| Funders | Funder number |
|---|---|
| Aarhus University and Utrecht University | H2020-FETOPEN |
| CSGI | |
| Center for Colloid and Surface Science | |
| Horizon 2020 Framework Programme | 801367 |