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

使用傅里叶变换红外 (FT-IR) 光谱对微藻进行分类鉴别和成分分析

• 批准号: LP0347711
• 负责人: Em/Prof John Beardall
• 金额: $ 13.49万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2003
• 资助国家: 澳大利亚
• 起止时间: 2003-07-28 至 2005-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP0347711
• 关键词: Taxonomic; discrimination; compositional; analysis; microalgae

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.

该项目旨在开发一种使用红外光谱的自动化系统，该系统可以快速廉价地识别藻类并量化其化学成分。该系统将基于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，从而使新的藻华与已知有毒的藻华迅速进行比较。利用红外光谱进行成分分析，有可能在单细胞水平上，以一种不涉及污染化学品的非破坏性方式，同时精确地测量所有主要种类的大分子。