Development of Nuclear Magnetic Resonance methods for the prediction of wastewater response to treatment

开发核磁共振方法来预测废水处理反应

• 批准号: 509223-2017
• 负责人: Longstaffe, James
• 金额: $ 1.82万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=639878
• 关键词: Development; Nuclear; Magnetic; Resonance; methods

This project explores the use of use of nuclear magnetic resonance (NMR) spectroscopy to provide uniqueinsight into the changes of the composition of organic material in wastewater during treatment. NMRspectroscopy is a powerful analytical method to acquire molecular-level information regarding the compositionof complex organic mixtures in a non-selective and fully quantitative manner. The goal of this project is toexplore and develop to use of NMR data as a chemometric fingerprint to quickly estimate the biodegradabilityof the organic materials present in a waste stream and to identify potentially biologically toxic or inhibitorycompounds in the complex wastewater mixture. Improved knowledge of the composition of wastewaterinfluent based NMR analysis will help Hydromantis improve the quality of the data used to model wastewatertreatment processes, thereby allowing for improved designs and improved operation. Canada will benefit fromthis research through the development of models of wastewater treatment that will allow for the developmentof water treatment facilities that are more efficient in their use of energy and other resources and effective inremoving contamination from the environment.

本项目探索利用核磁共振（NMR）波谱技术对废水处理过程中有机物质组成的变化提供独特的见解。核磁共振光谱是一种强大的分析方法，可以以非选择性和完全定量的方式获得有关复杂有机混合物组成的分子水平信息。该项目的目标是探索和开发使用核磁共振数据作为化学指纹，以快速估计废物流中存在的有机物质的可生物降解性，并识别复杂废水混合物中潜在的生物毒性或抑制化合物。基于核磁共振分析的污水流入成分知识的改进将有助于Hydromantis提高用于模拟废水处理过程的数据质量，从而允许改进设计和改进操作。加拿大将从这项研究中受益，因为它将开发废水处理模式，使水处理设施能够更有效地利用能源和其他资源，并有效地从环境中清除污染。