Overview of Key Principles of Dynamic Light Scattering to protein therapeutic formulations – Part 3
This four-part series examines common issues and questions surrounding the principles, measurements and analysis of DLS data and discusses how to minimize the time required for and increase the accuracy of acquiring and interpreting DLS data during the biotherapeutic development process. In Part Three, we cover the basic types of DLS deconvolution algorithms used to extract the intensity weighted particle size distribution from the measured correlogram.
sponsored by Malvern Panalytical
Dynamic light scattering (DLS) is an analytical technique used to measure the particle size distribution of protein formulations across the oligomer and sub-micron size ranges of approximately 1 nm to 1 µm. The popularity of DLS within the biopharmaceutical industry is a consequence of its wide working size and extended sample concentration ranges, as well as its low volume requirements. With that said, the challenge that remains with the application of DLS to protein therapeutic formulations is centered around data interpretation. In this four-part white paper series, common issues and questions surrounding the principles, measurements and analysis of DLS data are discussed in order to help minimize the time required for and complexity of acquiring and interpreting DLS data that is critical throughout the development process. In this third white paper of the series, we cover the basic types of DLS deconvolution algorithms used to extract the intensity weighted particle size distribution from the measured correlogram.
Read the full article now
Log in or register to read this article in full and gain access to The Medicine Maker’s entire content archive. It’s FREE and always will be!
Or register now - it’s free and always will be!
You will benefit from:
- Unlimited access to ALL articles
- News, interviews & opinions from leading industry experts
- Receive print (and PDF) copies of The Medicine Maker magazine
Or Login via Social Media
By clicking on any of the above social media links, you are agreeing to our Privacy Notice.