FLOW NANOANALYZER

HIGH SENSITIVITY FLOW CYTOMETRY FOR NANOPARTICLE ANALYSIS

Flow NanoAnalyzer is expected to become a powerful tool for life science, nanoscience and nanotechnology studies. Flow NanoAnalyzer can be used for the multiparameter characterization of natural and synthetic nanoparticles (7-1000 nm) at the single-particle level. Such as extracellular vesicles detection, mitochondria detection, bacteria detection, viruses detection, nanomedicine detection, naonomaterial detection and other nanoparticle detection. Combining light scattering and fluorescence detection, high-resolution distributions of particle size and biochemical properties can be acquired simultaneously in 1-2 minutes.

Functional Profile

Flexible Gating Strategy - multiparameter information for any subgroup  
Subpopulation, particle size, concentration, and function obtained from a single test

微信图片_20241203144003.webp

Performance

Discribe diffirent dimention performance of NanoAnalyzer, include: High-Sensitivity, High-Resolution Measurement ect.

High-Sensitivity & High-Resolution Measurement

  • Sensitivity for Scatter  < 30 nm

NanoAnalyzer Performance1NanoAnalyzer Performance2

  • Resolution Comparable to TEM  40/50 nm

NanoAnalyzer Performance3

  • Resolution for Fluorescence 42/133MESF

NanoAnalyzer Performance4

Linear Correlation with Gradient Dilution  and Reproducibility

Comparison with First-Generation Techniques

For silica NPs of 95 nm, the size distribution measured by NanoFCM is consistent with TEM, that is, sharp histogram centered at 95 nm is achieved. In contrast, a broad size distribution (20-250 nm) containing massive false signals is observed by NTA, originating from the lack of both sensitivity and resolution.

The ultrahigh sensitivity and resolution of NanoFCM is perfectly illustrated by the measurements of silica NPs with mixed sizes (47, 59, 74, 95, and 123 nm). NanoFCM offers comparable results as TEM, far beyond the best result obtained by NTA. NanoFCM enables users to accomplish complicate analysis for heterogeneous samples without losing details.