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Ph. D. ThesisPh. D. Thesis 4. Experiments, Setups and Data Sets 4. Experiments, Setups and Data Sets 4.4. 4l Miniaturized RIfS Sensor4.4. 4l Miniaturized RIfS Sensor
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Ph. D. Thesis
  Abstract
  Table of Contents
  1. Introduction
  2. Theory Fundamentals of the Multivariate Data Analysis
  3. Theory Quantification of the Refrigerants R22 and R134a: Part I
  4. Experiments, Setups and Data Sets
    4.1. The Sensor Principle
    4.2. SPR Setup
    4.3. RIfS Sensor Array
    4.4. 4l Miniaturized RIfS Sensor
    4.5. Data Sets
  5. Results Kinetic Measurements
  6. Results Multivariate Calibrations
  7. Results Genetic Algorithm Framework
  8. Results Growing Neural Network Framework
  9. Results All Data Sets
  10. Results Various Aspects of the Frameworks and Measurements
  11. Summary and Outlook
  12. References
  13. Acknowledgements
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4.4.   4l Miniaturized RIfS Sensor

The second setup, which is based on RIfS as detection principle, is shown in figure 13. This so-called 4l system bases on a wavelength separation in the light source. Individual wavelengths are sequentially emitted by 4 light emitting diodes rendering a spectral recording of the reflected light unnecessary. Thus, the reflected light is detected by a simple photodiode enabling a miniaturization of the system and a reduction of the costs. The setup, which has been used for the detection of single analytes and sum parameters, is described elsewhere in detail [178],[179]. As the parallelization of this setup is still in progress, the measurements using two different sensitive layers were performed in series.

figure 13: Schematic of the 4l setup. The yellow bubble shows the reconstruction of the shifted interference pattern after the sorption of analyte into the polymer layer (green before sorption of analyte, magenta after sorption of analyte).

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