For
this work data sets were used, which were measured by several different setups
to demonstrate that the principles of data analysis introduced in this study
can be generally applied to a broad spectrum of devices. All setups belong to
the category of the sensor devices, which transform chemical information into
physically measurable quantities. Sensors allow establishing durable and
economical devices for fast measurements without the need of sample
pretreatments rendering these devices ideal for monitoring environmental
pollutions, for process monitoring and for all kinds of continuous on-line and in-line
measurements. Depending on the sensitive layer, which is responsible for the
recognition of the chemical properties, the sensors are often divided into two
groups: The sensors belonging to the first group have polymers, metals or metal
oxides as sensitive layers. These sensors are called chemosensors. The
sensitive layers of the second group of sensors use biochemical interactions
like antigen antibody or DNA DNA interactions resulting in the name
biosensor. In this work, data sets are analyzed for the detection of gases and
vapors of volatile organic compounds. These data sets were measured by
colleagues using 3 different devices, which are all based on polymer
chemosensors. The polymer-based chemosensors recognize the presence of analyte
by changes of the thickness and changes of the refractive index of the
sensitive layer when analyte sorbs into the sensitive polymer layer. Two
devices are based on the Reflectometric
Interference Spectroscopy
(RIfS) as detection principle and one device is based on the Surface Plasmon
Resonance Spectroscopy (SPR).