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. 2021 Aug 10;13(9):631–654. doi: 10.1007/s13238-021-00863-6

Table 1.

Advantage and disadvantages of methods for characterization of EVs.

Method Characteristic of EVs Advantages Disadvantages Ref.
NTA Particle size distribution; concentration (number of particles) Detect particle in the size range of 10–1000 nm diameter

Requires sample volumes around 500 µL

Requires optimization for collection of data and parameters of analysis

(Soo et al., 2012)

(Palmieri et al., 2014)

(Filipe et al., 2010)

DLS Size distribution; zeta potential

Requires very small sample volume (70 µL)

Easy to use (requires optimization for a few parameters)

Poor analysis of heterogeneous populations of particles

(Palmieri et al., 2014)

(Filipe et al., 2010)

Tunable Resistive Pulse Sensing (tRPS) Size distribution, concentration of particles

Length of the resistive pulse is correlated with the particle size

Rate of resistive pulses reveals concentration of particles

An indirect method that requires a series of standard sample (Maas et al., 2014)
TEM Size, morphology

Produces high resolution images

Electrons that pass through the sample are detected

EVs typically have a divot in their center due to the drying process associated with the sample preparation (Wu et al., 2015)
SEM Size, morphology

Produces high resolution images

Scattered electrons are detected

Requires extensive sample preparation

EVs typically have a divot in their center due to the drying process associated with the sample preparation

(Wu et al., 2015)
Cryo-EM Size, morphology

Samples can be conserved in their native hydrated state

Produces better quality and preserved morphology

Artifacts can be avoided

In combination with TEM, cryo-EM can detect proteins in EVs, and uptake by cells

Requires extensive sample preparation (Chernyshev et al., 2015; Choi and Mun 2017; György et al., 2017)
Immunogold-EM Specific protein detection qualitatively

Requires small volume of EVs

Can detect the proteins in EVs

Can detect multiple proteins in EVs by using different size secondary gold particles

Quantify disease specific markers in EVs

Better for molecular characterization of EVs

Requires extensive sample preparation (Cappello et al., 2016)
Western blot Specific protein detection quantitatively

Allows molecular characterization of EVs.

Allows quantification of proteins in EVs.

Does not allow observation of intact vesicles

Not well multiplexed

The specificity and reproducibility are limited by the quality of the antibody used

Requires large sample volume

Extensive sample processing is required

Specialized instruments are needed

(Gallagher et al., 2008)
ELISA Specific protein detection quantitatively Allows quantification of protein in EVs, crucial for molecular characterization of EVs

Requires a large sample volume

Extensive sample processing is required

Specialized instruments are needed

(Witwer et al., 2013)
Flow cytometry Specific protein detection quantitatively

Detection limit is 100–200 nm

Allows for high throughput analysis of exosomes

Allows for quantification or classification of exosomes based on the antigen expression

Requires a single particle suspension

Aggregation of vesicles results in the observation of multiple particles at a single time

Requires the immobilization of exosomes on the surface of beads

(Szatanek et al., 2017)

(Ko et al., 2016)

Thermophoretic aptasensor (TAS) Profile EVs as a function of surface protein expression Inexpensive, fast, and requires small serum volume (less than1 µL)

Currently, TAS profiles one marker per run. Therefore, further development is necessary for high throughput

Accuracy needs to be further improved.

(Liu et al., 2019)
Mass spectroscopy Proteomic analysis of EVs

Allows the identification and quantification of thousands of EV proteins

Can identify missing proteins in the human protein map

Protein interference issue due to the identification of peptides as protein surrogate sequence coverage

Requires isolation of homogeneous EV population

Characterization of the proteome of EVs isolated from primary cell lines and tissues is challenging

(Rosa-Fernandes et al., 2017)
SPR Membrane protein analysis, biophysical properties, protein-protein interaction

Real-time measurement

Able to detect low affinity antibodies or antigens, a calibration-free concentration analysis

Elimination of labels

Requires low sample volume

Requires high sensitivity and specificity for the detection of biomarker at the early stage of disease progression

The sensor chip requires functionalization of ligands

(Thakur et al., 2017; Hosseinkhani et al., 2017; Im et al., 2014)
AFM Membrane protein analysis, biophysical properties, topology, surface characteristics

Can detect EVs in liquid as well as air mode

Produces topographical pictures of EVs

Allows quantification and imaging of EVs

Specific EVs can be detected via immobilization of antibodies

Extensive sample preparation is not required

Resolution limit is around 1 nm

Requires specific stages such as mica for immobilization.

Requires probe for the detection of EVs, which can damage the EVs

(Klinov and Magonov 2004; Sharma et al., 2010, 2011; Yuana et al., 2010; Hardij et al., 2013)
Raman spectroscopy Detects membrane protein, functionality Simple, inexpensive, highly efficient, and portable method Analysis of a single vesicle is time-consuming because of the weak Raman signals that often need enhancement via the nanostructured substrates or nanoparticles for a more effective analysis (Kwizera et al., 2018; Gualerzi et al., 2019)
Quantum dots Detection of disease specific exosomes

Sensitive detection of 100 exosomes per μL

Facilitates better tracking of EVs and more specific targeting

QDs have strong resistance to photobleaching

In the context of QD-EV conjugation chemistry, the NHS-ester used for QDs and EV modification can react with primary amines.

(Boriachek et al., 2017; Goreham et al., 2020; Zhang et al., 2020)

(Takov et al., 2017)

Integrated magneto-electrochemical sensor (i-MEX)

Fast and streamlined analysis of EVs

Cell-specific exosomes can be isolated

High detection sensitivity through magnetic enrichment and enzymatic amplification

Sensors can be miniaturized

Fast, high-throughput, and on-the-spot analysis

Cell-specific exosomes can be isolated directly from complex media

High detection sensitivity via magnetic enrichment and enzymatic amplification

Can be miniaturized and expanded for simultaneous measurements

The iMEX system has lower sensitivity and throughput than nPLEX (Jeong et al., 2016)
Aptamer based biosensor Quantitative detection of exosomes

Requires small sample volume

Application of aptamer instead of antibody, improves the stability of the system, resulting in better sensitivity

Due to label-free approach, the cost is reduced.

The aptasensor detected exosomes in a homogeneous system

Lack of a reliable process to obtain aptamers to be specifically used in electrochemical sensors (Zhou et al., 2016; Rozenblum et al., 2019; Xia et al., 2017)
Aptasensor Detects exosomes by integrating single-walled carbon nanotubes 

Visible and simple method

Can be applied to detect other targets by changing the aptamer

Requires development of a “signal-on” strategy to replace “signal-off” strategy, susceptible to interference (Xia et al., 2017)