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Improving Multivariate Analysis in Mid-Infrared Spectroscopy for Biosensing

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Abstract

Mid-infrared spectroscopy using multivariate analysis for quantification has high potential in biosensing. This case study on aqueous glucose solutions yields improved prediction errors by optimising preprocessing and wavelength selection procedures.

© 2018 The Author(s)

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