Zetasizer Pro

The new Zetasizer Pro with adaptive correlation

The newly released Zetasizer Pro is a robust and versatile system for the measurement of particle and molecular size and electrophoretic mobility and zeta potential of nanoparticles.

It enables submicron particle size measurements to be performed up to three times quicker, compared to previous models, accelerating sample throughput and freeing up operator and system time for other tasks.

Even novice users will produce the highest-quality measurements, thanks to the intuitive interface and the deep learning empowered data quality advice system that highlights issues and provides advice on how to overcome them.

  • NIBS optics for versatile, high sensitivity, particle and molecular size measurements
  • Dynamic Light Scattering (DLS) measures particle and molecule size, from 0.6 nm – 10 µm
  • M3-PALS with the new Constant Current Mode for zeta potential and electrophoretic mobility measurements
  • the new ZS Xplorer software suite for simple and flexible method set-up and data analysis
  • Adaptive Correlation for faster, more reproducible sizing measurements with less sample preparation
  • Deep Learning empowered data quality system for assessment of any size data quality issues, with clear advice on how to improve results
  • Optical filter wheel with fluorescence filter to allow measurement of fluorescent samples without impairing overall system sensitivity.  Also includes polarization filters for DDLS measurements.

So, what is this Adaptive Correlation?        

Adaptive Correlation (AC) is a novel approach for capturing and processing DLS data which aims to produce the most reliable correlation function for accurate determination of the diffusion coefficient and particle size.

As well as using statistics to capture the optimum amount of data in as short a time as possible, AC also uses statistical models to highlight any captured data that is not representative of the sample, such as that due to a rare dust particle transiting the detection volume of the measurement. 

AC is not a simple particle size (dust) filter, and will not discriminate genuinely multimodal samples, but allows the characterization of consistent or steady-state size components without data being skewed by intermittent or transient scatters. This approach means that not only has the tolerance to dust been improved, but measurements are quicker and repeatability improved, even for clean and stable samples.

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