Temperature-Modulated DSC for Advanced Experiments

Webinar – TOPEM – An Advanced Temperature-Modulated DSC Technique

Temperature-Modulated DSC Permits Better Interpretation of Different Thermal Events

Temperature-modulated DSC techniques (TMDSC) are widely used in thermal analysis in industrial and university research laboratories to separate overlapping temperature-dependent and time-dependent thermal effects.
Methods used up until now have overlaid the isothermal temperature or heating ramp with a sinusoidal temperature modulation of just one frequency (single frequency method). In contrast, TOPEM®, the new advanced multi-frequency temperature-modulation technique, uses a large number of different frequencies (multi-frequency approach).

This webinar offers you the opportunity to learn more about the theory behind TOPEM® and to study some typical applications.

METTLER TOLEDO offers three different techniques for performing temperature-modulated DSC measurements. They are known as IsoStep, ADSC and TOPEM®.

Temperature-modulated DSC

The TOPEM webinar offered by METTLER TOLDO explains why temperature-modulated DSC (TMDSC) is so useful. An overview of various temperature-modulated DSC techniques is presented before going into more detail about the most advance technique – TOPEM. The webinar also discusses several examples that illustrate the kind of questions TOPEM can answer.

Theory of TMDSC

A temperature-modulated DSC experiment yields reversing and non-reversing heat flows. Under quasi-static conditions, such as exist in an ideal IsoStep experiment, the reversing heat flow corresponds to the sensible heat flow, and the non-reversing heat flow to the latent heat flow.

In an ADSC experiment, modulation occurs at a particular frequency. In this case, the statements “reversing heat flow equals sensible heat flow” and “non-reversing heat flow equals latent heat flow” are not generally valid.

TOPEM has a tremendous advantage: it allows you to distinguish between latent and sensible heat flows and at the same time investigate the frequency dependence and hence the dynamics of processes. To understand how this is possible, this webinar takes a closer look at the principles on which TOPEM is based, supported by real application examples.