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.
One of the key factors to achieve reliable and reproducible QCM measurements is temperature stability. Here we list the top four factors that will help you eliminate temperature induced artifacts in your QCM data.
On the topic of QCM, the different resonance harmonics, i.e., the fundamental and the overtone harmonics, are often subject to discussion. So, what is the deal with the overtones? Are they really needed, and if they are, when and why are they important?
When you are to invest in a new QCM-system, there are several aspects of the instrument to evaluate such as price, experimental capabilities and data quality. Price is straightforward, but how about the other two factors? Here we guide you how to asses experimental capabilities and data quality.
You have finished a set of successful QCM experiments, and it is time to analyze the data. Mass and thickness quantification are on the to-do list, and you must decide between the Sauerbrey equation and viscoelastic modeling. Here we present guidelines on how to evaluate which method to use.
The versatility of polyelectrolyte multilayers, PEMs, is high, which makes them interesting for e.g. biomedical applications. The functionality is largely determined by the layer properties, which needs to be understood to be tailored. Here, we show how PEMs can be characterized with QCM-D.
Temperature stability is key to achieve reliable and reproducible QCM measurements. But why is a stable temperature so important? And how will temperature variations affect your measurements? Here we explain the causes and effects of temperature related artifacts in QCM measurements.
Get updates from the blog directly to your inbox.