Rapid substance screening is a vital yet difficult task. Different materials are best analysed by different techniques, and therefore a single tool may not always be able to identify an unknown substance. This can be addressed by a multimodal approach, simultaneously combining several orthogonal techniques into a single tool. Here we demonstrate a proof-of-concept for a solution based on three complementing techniques - infrared spectroscopy, ultraviolet fluorescence spectroscopy and microscopic imaging – for rapid acquisition of a rich dataset well suited for biochemical samples classification, with dedicated signal processing extracting the descriptive features and identifying the nature of the material.
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