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Data Analysis

Fields & Applications Sample Preparation

10 Reasons that the Zetasizer Nano is chosen for scientific success

New components and measurement techniques continue to be introduced for the Zetasizer Nano. New to the system are a Surface Zeta Potential accessory and a new diffusion barrier method for improved zeta potential measurements of protein samples. Why is the Malvern Zetasizer Nano so popular and found in a broad range of applied and fundamental scientifi c projects across all industries and fields? Because, it is simply the most dynamic and broad ranged instrument on the market for solving technical issues in today’s research environment and it continues to evolve with new capabilities. Here are 10 reasons why you should choose the Zetasizer Nano:

Fields & Applications Sample Preparation

Automated particle size with Zetasizer NanoSampler

The Zetasizer NanoSampler is a sample delivery system that ensures highly precise and reproducible automated loading of samples into your Zetasizer Nano for particle size measurements. The NanoSampler adds automation and unattended operation in a versatile, compact package, maximising the productivity of your Zetasizer Nano.

Fields & Applications Sample Preparation

Differentiation and characterization of subvisible particulates in therapeutic protein products

This application note provides an example of how Archimedes can be used to detect and quantify the formation of protein sub-visible particles and the introduction of silicone oil droplets, in response to shear stress.

Fields & Applications Data Analysis

Targeting the Untargeted

| John A. McLean

Our capacity to generate data is unsurpassed, but how do we cope with the data deluge? It’s time to embrace data-driven discovery in biology and medicine.

Techniques & Tools Technology

Command the Box

| Bill Anderson

Surely, we’ve gone beyond thinking outside the box – the time has come to tell the box to respond to our thoughts.

Techniques & Tools Mass Spectrometry

Building Mass Spectrometry from the Inside

| Ian Jardine

The development of mass spectrometry is one of science’s great technology stories.

Fields & Applications Sample Preparation

Overcoming the negative effect of protein structure on molecular weight measurement by Size Exclusion Chromatography

In this application note we will look at two examples where the retention volume of a sample could not be used to obtain an accurate measure of the sample MW. We will also describe the additional information that can be obtained using these advanced detectors. This work has been performed in conjunction with the Institut Pasteur, Paris, France

Fields & Applications Data Analysis

Protein analysis with the Zetasizer MicroV batch & flow mode

The Zetasizer µV (MicroV) is a dual purpose light scattering instrument designed specifically for the analysis of proteins. Firstly, it is a highly sensitive cuvette based dynamic light scattering instrument with the same great performance as the market leading Zetasizer Nano. Secondly, by simply changing the cell, it becomes an absolute molecular weight and size detector that can be added to any Size Exclusion Chromatography system (such as the Viscotek TDAmax).

Fields & Applications Data Analysis

The Zetasizer Nano - simple & versatile light scattering system

The Zetasizer Nano is the world's most widely used light scattering system, for measuring size, zeta potential and molecular weight. Applications range from characterizing high concentration colloids and nanoparticles, through to measurement of proteins and macromolecules in their native state, requiring as little as 12 microlitres of sample. The Zetasizer Nano can be used for the comprehensive characterization of proteins, colloids and nanoparticles, and is simple to use, highly sensitive, versatile and fast! This videos shows how quickly and easily a measurement can be made on the Zetasizer Nano.

Techniques & Tools Sample Preparation

Characterization of Branded Co-Polymers by Triple Detection GPC

| Sponsored by Malvern Panalytical

Polymers can be loosely grouped into two structural categories – linear and branched.

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