Clinical

Are wasp-inspired needles the neurosurgery of the future?

MOFs can now be nano-fabricated - what impact could the materials have on analytical science?

Every year sees new chemicals added to the list of analytes that may need to be measured in a given sample. At the same time, environmental levels of many older pollutants may be in decline – but still must be measured.

Sitting Down With… Detlef Günther, VP Research and Corporate Relations, and Professor for Trace Element and Micro Analysis, ETH Zürich, Switzerland.

Optimizing oxygen delivery improves stem cell treatment of peripheral artery disease.

Contribution of variable domains to the stability of humanized IgG1 monoclonal antibodies Choosing the best antibody to progress in your biologic pipeline. Temperature-induced unfolding of three humanized IgG1 monoclonal antibodies and their Fab and Fc fragments was monitored by differential scanning calorimetry at neutral pH. With some exceptions, the thermogram of the intact antibody presents two peaks and the transition with the larger experimental enthalpy contains the contribution from the Fab fragments. Although the measured enthalpy was similar for all three Fab fragments studied, the apparent melting temperatures were found to vary significantly, even for Fab fragments originating from the same human germline.

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.