Q-Sense software package includes extensive possibilities to analyze and interpret measurement data, from different plots to advanced modeling. Typical output data are:

• Mass and thickness vs time 
• Structural (viscoelastic) properties vs time
• Kinetic constants

Other features include temperature ramping, export of data and plots and the possibility to enter own mathematical models.

Plotting of raw data
When raw data are opened, data may be conveniently formatted to allow raw data plots.

This plot shows the adsorption of lipid vesicles. When the data peak, the vesicles rupture and form a lipid bilayer. The intact vesicles form a soft water rich film (higher dissipation as shown in the orange curves). The lipid bilayer is thin and closely packed (low dissipation).

Fitting to a viscoelastic model
Using frequency and dissipation data from several harmonics, raw data can be fitted to a viscoelastic model included in the software.

In the modeling centre intervals of thickness, viscocity and shear modules are entered in the software. The model will then automatically find the best fit.

A mathematical fit is conducted which extracts thickness, viscocity and elasticity of the adsorbed layer. Fitted data are shown in squares above.

Comparing data from Sauerbrey and the viscoelastic model
In this example, the intact vesicles form a soft layer which means that the Sauerbrey relation underestimates the mass since outer part of the layer does not follow the oscillation of the sensor.

As can be seen the thickness from the viscoelastic model is larger than the Sauerbrey thickness for the soft layer of vesicles. However, the Sauerbrey relation and the model gives the same response for the low dissipative lipid bilayer film.

The modeling tool has been used in many publications, click here to access the publication database.