QCM-D Best practices #1: Experimental design/how to produce quality data

This webinar provides a comprehensive guide on best practices for QCM-D (Quartz Crystal Microbalance with Dissipation) experimental design, focusing on how to generate high-quality, reproducible data. The session covers critical factors such as avoiding contamination, temperature and sample variation, baseline stability, air bubble prevention, and bulk shift control. Additionally, it illustrates the application of these principles in biopharmaceutical studies, particularly with monoclonal antibodies and their interactions with various material surfaces, and discusses how surfactants can mitigate unwanted surface binding. You will get some useful tips and tricks on how to design your QCM-D experiments and how to collect quality data.