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Ph. D. ThesisPh. D. Thesis 4. Experiments, Setups and Data Sets 4. Experiments, Setups and Data Sets 4.3. RIfS Sensor Array4.3. RIfS Sensor Array
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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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4.3.   RIfS Sensor Array

The Reflectometric Interference Spectroscopy (RIfS), which was initially proposed by Gauglitz and Nahm [175], evaluates the interference pattern of light, which is reflected at thin transparent films. The interference is caused by different partial beams, which are reflected in a different way at the film interfaces depending on the wavelength. Changes of the optical thickness nd of the sensitive layer can be detected as shifts of the maxima and minima of the interference pattern [176].

The RIfS sensor array shown in figure 12 contains 7 sensors allowing the application of 7 sensitive layers. The configuration of the sensor array is based on a white light source. The light is transmitted through a lens and filter system via polymer fibers to the glass substrates with 7 different polymer layers. The reflected light is transmitted to an optical multiplexer, which is directly connected to a diode array spectrometer. More details can be found else­where [177].

figure 12:  Schematic of the RIfS array setup. The yellow bubbles show the effects when analyte sorbs into the polymer layer (green before sorption of analyte, magenta after sorption of analyte).

 


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