Augmented COlorimetric NANoplasmonic (CONAN) Method for Grading Purity and Determine Concentration of EV Microliter Volume Solutions

A. Zendrini, L. Paolini, S. Busatto, A. Radeghieri, M. Romano, M.H.M. Wauben, M.J.C. van Herwijnen, P. Nejsum, A. Borup, A. Ridolfi, C. Montis, P. Bergese

Research output: Contribution to JournalArticleAcademicpeer-review

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 languageEnglish
Article number452
JournalFrontiers in Bioengineering and Biotechnology
Volume7
DOIs
Publication statusPublished - 12 Feb 2020
Externally publishedYes

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.

FundersFunder number
Aarhus University and Utrecht UniversityH2020-FETOPEN
CSGI
Center for Colloid and Surface Science
Horizon 2020 Framework Programme801367

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