Technology & Research

Stability Characterization.

Dynamic light scattering (DLS) Assesses colloidal stability of biological samples by analyzing particle motion and size distribution.

Summary

What you can achieve with DLS.

DLS is a useful tool for anyone developing biologics or gene therapies. Complex biological samples such as enzymes, monoclonal antibodies, or AAVs that will be used for treatments must be highly stable for storage, transport, and clinical administration.

DLS enables you to monitor the colloidal stability of your sample. This information helps you optimize your sample by making changes to the sequence or buffer environment, and measuring how those changes impact colloidal stability.

Candidate library development
Expression & Purification
Developability Screening
Formulation optimization
Pre-clinical characterization

Target selection Investigational new drug approval

DLS provides insight about the stability of your samples.

How it works

Colloidal stability indicates how likely a sample is to clump up or aggregate and crash out of solution, rendering it useless and potentially harmful. DLS provides two critical parameters about your sample: PDI and rH.

Polydispersity Index, PDI

Hydrodynamic radius, rH

Better show than tell. See how DLS generates information about your sample.

ACF fit for two samples with one population of beads. The decay function varies by particle size.

Particles move at different speeds and scatter different amounts of light based on their size. Larger particles move slower and scatter more light compared to smaller particles. DLS optics are very sensitive, and measure the intensity fluctuations of light from a sample.

The autocorrelation function, or ACF, captures the information about the fluctuations of scattered light. The decay data is plotted, and a line is fit through the data – the ACF fit. This fit is mathematically converted into plots that convey information about the average size of particles in a solution, as well as the distribution of particle sizes in a given sample.

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Thomas Schubert CEO at 2bind, Germany

“NanoTemper helps us turn challenging biophysical tasks into routine workflows. Their intuitive solutions give us reliable data faster, so our teams can focus on advancing drug candidates.”

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