权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Liquid chromatography for ultra-high performance detection of glutathione and phytochelatins involved in the sequestration and detoxification of pollutants

液相色谱法用于超高效检测参与污染物封存和解毒的谷胱甘肽和植物螯合素

基本信息

批准号：
440076-2013
负责人：
Dewez, David
金额：
$ 5.48万
依托单位：
Université du Québec à Montréal
依托单位国家：
加拿大
项目类别：
Research Tools and Instruments - Category 1 (<$150,000)
财政年份：
2012
资助国家：
加拿大
起止时间：
2012-01-01 至 2013-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=505635
关键词：
Liquid chromatography ultra performance detection

项目摘要

In this research program, phytochelatins, glutathione and related thiol-peptides involved in pollutants cellular sequestration and detoxification mechanisms will be investigated with ultra-high-performance liquid chromatography. This research instrument is composed of a core system permitting high-efficient separation of these proteins through specialized columns, an automated sample injection for high-throughput analysis, and a fluorescence detector providing high-sensitive qualitative and quantitative detection of these proteins. This analytical approach will be used on green algae strains exposed to different concentrations of aquatic pollutants to identify the different biochemical properties of algae related to the transport and sequestration of aquatic pollutants in the cell vacuole. The results obtained by this approach will be used to develop a fundamental model which identifies the best algal strain characteristics to obtain the most efficient vacuole sequestration of pollutants. This model will be used to develop new biotechnological approaches to remediate contaminated wastewater. This environmental biotechnology using algal detoxification mechanisms can be applied to prevent the pollution of aquatic ecosystems and protect the quality of the environment.

本研究计划利用高效液相色谱法研究植物螯合素、谷胱甘肽及相关巯基肽在污染物细胞隔离和解毒机制中的作用。该研究仪器由一个核心系统组成，该系统允许通过专门的色谱柱高效分离这些蛋白质，一个用于高通量分析的自动进样，以及一个荧光检测器，提供这些蛋白质的高灵敏度定性和定量检测。这种分析方法将用于暴露于不同浓度水生污染物的绿藻菌株，以确定藻类在细胞液泡中运输和封存水生污染物的不同生化特性。通过这种方法获得的结果将用于开发一个基本模型，该模型确定最佳藻类菌株特征，以获得最有效的液泡隔离污染物。该模型将用于开发新的生物技术方法来修复受污染的废水。这种利用藻类解毒机制的环境生物技术可用于防止水生生态系统的污染和保护环境质量。