Sample Preparation

See how you can use DSC to save you money in your contract development lab. This paper provides an overview of the workflow typically associated with preformulation projects at a contract development organization as well as provides a general framework for conducting preformulation studies that leverages the application of biophysical techniques such as DSC and traditional analytics by employing statistical design. A case study involving the formulation development of a monoclonal antibody is presented to detail the utility and potential limitations of DSC in support of preformulation for a variety of protein products.

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 Four, we address frequently asked questions related to the application of DLS to the characterization of protein therapeutic formulations.

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.

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 Two, we cover the influence of concentration effects and particle interactions on DLS results and provide a roadmap for identifying and distinguishing each type of concentration effect.

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 One, we provide an overview of the key principles of DLS: theory, correlation statistics, deconvolution algorithms, and the intensity to mass transform.

The role that nanoparticles play in the rapidly developing field of ‘NanoMedicine’ has been discussed previously in Chapter 5. In this Chapter, we review the specific mechanisms by which such nanoparticles are designed and formulated and in which NTA has had a significant part to play.

The ability to quickly and reproducibly measure coffee ground particle size and size distributions is important during grinding operations to ensure that the coffee quality is maintained and that the correct grade is produced. The Mastersizer 3000 and the Funnel Sample Feeder for the Aero S dry powder disperser provides this capability, offering a rapid alternative to traditional sieve analysis.

The combination of static microscopy and Raman spectroscopy in the Morphologi G3-ID enables automated chemical identification of protein aggregates and other contaminants in a biotherapeutic sample, either in suspension via a thin-path wet cell or on a filter membrane.

Learn how Isothermal titration calorimetry can be used to guide protein (RNA)/ligand crystallization and to resolve common issues with crystallization of complexes.

Determining the components, and their proportion, in a protein sample is essential for the improvement of candidate formulations and characterization of final formulations.