Taxonomic discrimination and compositional analysis of microalgae using Fourier-transform infrared (FT-IR) spectroscopy

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The project aims to develop an automated system using infrared spectroscopy that can rapidly and inexpensively identify algae and quantify their chemical composition. The system, which would be based on statistical models developed from infrared spectral information, has the potential to enable rapid identification of blue-green algae at the strain level, allowing new algal blooms to be rapidly compared with those known to be toxic. Compositional analysis using infrared spectroscopy has the potential to measure all major classes of macromolecules simultaneously and precisely, at the single cell level, in a non-destructive manner that does not involve polluting chemicals.