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. 2024 Jun 14;11(30):2401069. doi: 10.1002/advs.202401069

Table 3.

The summary of EV analysis methods.

Methods Benefits Potential Drawbacks Reference
Transmission Electron Microscopy
  1. High‐resolution

  2. Minimal sample volume needed

  1. Low throughput

  2. Sample preparation: laborious, risk of artifacts

[37, 200]

Scanning Electron

Microscopy

  1. Simpler sample preparation: less complex than TEM

  2. Minimal sample volume needed

  1. Lower resolution: compared to TEM

  2. Risk of artifacts from sample dehydration.

  3. Might obscure/alter sample by conductive coating

[201]
Atomic Force Microscopy
  1. Can provide 3D surface topography

  2. Probe the mechanical characteristics

  3. Analysis in physiological environments

  1. Low throughput

  2. Expertise needed: complex use and data interpretation

[40, 202]
Nanoparticle Tracking Analysis
  1. Provide both size distribution and particle concentration

  2. Real‐time visualization

  3. Better resolution for polydisperse samples

  1. Difficulty detecting particles smaller than ≈30 nm

  2. More complex sample preparation

[203]
Dynamic Light Scattering
  1. Require minimal steps before analysis

  2. Rapid determination of size distribution

  1. No concentration data.

  2. Polydisperse challenge: difficult to accurately determine size in samples with a broad size distribution

[36, 204]
Tunable Resistive Pulse Sensing
  1. Provide particle size and concentration

  2. Adjustable for different particle sizes

  1. Particles or aggregates can block the pore

  2. Sensitive to changes in temperature, salt concentration, and other factors

[41, 205]
Western Blotting
  1. Confirm the presence of specific EVs markers

  2. Can probe multiple proteins using different antibodies

  1. Time‐consuming

  2. Not ideal for low‐abundance proteins

[42, 206]
Enzyme‐Linked Immunosorbent Assay
  1. Provide quantitative data on protein concentrations

  2. Suitable for analyzing multiple samples simultaneously

  1. Chance of antibodies detecting unintended targets

  2. Might not detect very low abundance proteins

[43, 207]
Mass Spectrometry
  1. Broad profiling of proteins, lipids, and other molecules

  2. Can detect molecules present in low concentrations

  1. Require advanced bioinformatics tools

  2. Need for rigorous sample preparation

  3. High setup and maintenance costs

[44, 208]
Polymerase Chain Reaction
  1. Can detect low quantities of specific nucleic acid sequences

  2. Provide quantitative data

  1. Sensitive to the purity of EV nucleic acid

  2. Risk of sample contamination leading to false positives

[45, 209]
Total Internal Reflection Fluorescence
  1. High signal‐to‐noise ratio

  2. Enable real‐time observation of EVs interactions at the cell membrane or surface

  1. Limited field of view

  2. Require precise setup alignment and calibration

[210]
Flow Cytometry
  1. Can simultaneously measure multiple parameters (e.g., size and protein markers)

  2. Rapid data acquisition

  3. Provide information on individual EVs

  1. Detection of smaller EVs can be challenging

  2. Non‐specific binding

  3. Require instruments with high sensitivity and resolution

[211]
Surface Plasmon Resonance
  1. Capable of detecting low concentrations

  2. Label‐free detection

  1. Highly sensitive to changes in refractive index

  2. Require careful preparation and optimization of the sensor chip surface

[46, 212]
Surface‐Enhanced Raman Scattering
  1. Detect low‐abundance molecules

  2. Provide multiple targets simultaneously based on distinct Raman shifts

  1. Reproducibility not ideal

  2. Background interference

[47, 213]