<title>Calibration systems for surface plasmon resonance spectroscopy</title>

Abstract

Novel, field portable, inexpensive, easy to fabricate, optical fiber waveguide Surface Plasmon Resonance (SPR) sensors have been developed. Such sensors show exceptional promise in process and environmental monitoring. These sensors generate SPR features that are broader than prism- based SPR features. While these wide features are troublesome to calibrate using the univariate method traditional to SPR, multivariate methods of calibration have been applied to these new SPR sensors. Multivariate calibration has shown a fifty-percent improvement in predictive accuracy compared to univariate methods. In select case, the multivariate calibrations have been an order of magnitude better than the univariate methods. Traditional and new calibration methods for SPR are discussed, and recommendations are made regarding choice of regression modes, data density, and calibration set makeup for calibration of SPR using novel optical fiber waveguide SPR.