A prerequisite for successful data analysis is good input data. Learn about the key characteristics of a quality baseline and how to get there.
Read about the QCM mass sensitivity distribution, what it looks like and how it affects the quantification of the data.
Read this case example where QSense QCM-D was used to analyze the interaction between a ceramic surface and different slurry additives.
Read about how QSense technology can be used in virus research and how the QCM-D data helps analyze the competition for membrane receptors
Read about the differences and similarities in information output between QSense QCM-D and standard SPR.
Learn about how QSense QCM-D is used to monitor vesicle interaction with solid substrates and to characterize surface-adsorbed vesicle layers.
Learn more about what information QCM-D, Quartz Crystal Microbalance with Dissipation monitoring technology, offers
In the context of QCM-based instrumentation, 'dissipation' or ‘damping’ are often mentioned. Read about what these concepts mean, and why are they relevant.
QCM-D and QCM-R both collect information about the energy loss. Read about how these thow methods compare.