Using the optical measurement technique reflectometric interference spectroscopy (RIfS), the interaction of molecularly imprinted polymers (imprinted with either (R, R)- or (S, S)-2,3-di- O-benzoyltartraric acid) with the corresponding templates and template antipodes were investigated. With these sensors chiral separation with a separation factor of 1.2 could be achieved whereas a reference polymer resulted in no separation. RIfS signals were of opposite sign for imprinted polymer layers containing phenylboronic acid binding site monomers.

IR spectroscopic mapping of resin beads allows destruction-free characterization of polymer-bound combinatorial compound libraries. By choice of different absorptions for IR reconstruction, resin beads with common structural elements can be "fished out" of a library and statistically investigated.

This paper presents several methods for analysis of data from reflectometric interference spectroscopic measurements (RIfS) of water samples. The set-up consists of three sensors with different polymer layers. Mixtures of butanol and ethanol in water were measured from 0 to 12,000 ppm each. The data space was characterized by principal component analysis (PCA). Calibration and prediction were achieved by multivariate methods, e.g. multiple linear regression (MLR), partial least squares (PLS) with additional predictors, and quadratic partial least squares (Q-PLS), and by use of artificial neural networks. Artificial neural networks gave the best results of all the calibration methods used. Calibration and prediction of the concentration of the two analytes by artificial neural nets were robust and the set-up could be reduced to only two sensors without deterioration of the prediction.

Bei der Suche nach selektiven Rezeptoren besteht ein vielversprechender Ansatz in der Immobilisierung von Cyclopeptiden auf Sensoroberflächen (siehe Bild) und anschließender Detektion niedermolekularer Analyte durch die reflektometrische Interferenzspektroskopie (RIfS). Diese innovative Methode bietet in Verbindung mit der kombinatorischen Chemie ein großes Potential für Anwendungen in der Sensorik.

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