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

该项目旨在开发一种使用红外光谱的自动化系统，可以快速、廉价地识别藻类并量化它们的化学成分。该系统将基于根据红外光谱信息开发的统计模型，有可能在菌株水平上快速识别蓝绿藻，从而能够迅速将新的藻华与已知的有毒藻华进行比较。使用红外光谱分析的成分分析有可能在单细胞水平上以非破坏性的方式同时精确地测量所有主要类别的大分子，而不涉及污染化学物质。

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.