QCM-D is designed to detect minute variations in frequency, f, and dissipation, D. Here we have compiled a checklist that will help you optimize the reproducibility of your QCM-D measurements by minimizing unintentional changes of the recorded parameters.
Working in a surface science lab, you surround yourself with analysis equipment that you need to progress in your work. The benefits of running combination measurements could be three-fold.
Lipid-based systems are used in various fields of research, e.g. in the design and development of biosensor platforms, biomaterial coatings and drug delivery applications. In this overview, we present examples of how these lipid-based systems can be characterized using QSense QCM-D technology.
Nanoparticle size is one of the key parameters that are relevant to characterize in nanoparticle suspensions. Here we list six different methods that you can use to characterize the nanoparticle size.
In QCM instrument specifications and experimental descriptions, there is always a reference to the fundamental frequency. But does the fundamental frequency really matter? Here we sort out the details and explain how and why it matters in a measurement situation.
Quantifying QCM mass, there are two different approaches to choose from, the Sauerbrey equation or viscoelastic modeling. But what if the wrong method is applied, what happens then? How critical are the consequences? Here we describe what happens if the wrong quantification approach is used.
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