Reference number : GC-2017-Q1-00508, amendment number : , agreement type : G, recipient legal name : Longstaffe, James (University of Guelph), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : This project explores the use of use of nuclear magnetic resonance (NMR) spectroscopy to provide unique_x000D_
insight into the changes of the composition of organic material in wastewater during treatment. NMR_x000D_
spectroscopy is a powerful analytical method to acquire molecular-level information regarding the composition_x000D_
of complex organic mixtures in a non-selective and fully quantitative manner. The goal of this project is to_x000D_
explore and develop to use of NMR data as a chemometric fingerprint to quickly estimate the biodegradability_x000D_
of the organic materials present in a waste stream and to identify potentially biologically toxic or inhibitory_x000D_
compounds in the complex wastewater mixture. Improved knowledge of the composition of wastewater_x000D_
influent based NMR analysis will help Hydromantis improve the quality of the data used to model wastewater_x000D_
treatment processes, thereby allowing for improved designs and improved operation. Canada will benefit from_x000D_
this research through the development of models of wastewater treatment that will allow for the development_x000D_
of water treatment facilities that are more efficient in their use of energy and other resources and effective in_x000D_
removing contamination from the environment., program purpose french : This project explores the use of use of nuclear magnetic resonance (NMR) spectroscopy to provide unique_x000D_
insight into the changes of the composition of organic material in wastewater during treatment. NMR_x000D_
spectroscopy is a powerful analytical method to acquire molecular-level information regarding the composition_x000D_
of complex organic mixtures in a non-selective and fully quantitative manner. The goal of this project is to_x000D_
explore and develop to use of NMR data as a chemometric fingerprint to quickly estimate the biodegradability_x000D_
of the organic materials present in a waste stream and to identify potentially biologically toxic or inhibitory_x000D_
compounds in the complex wastewater mixture. Improved knowledge of the composition of wastewater_x000D_
influent based NMR analysis will help Hydromantis improve the quality of the data used to model wastewater_x000D_
treatment processes, thereby allowing for improved designs and improved operation. Canada will benefit from_x000D_
this research through the development of models of wastewater treatment that will allow for the development_x000D_
of water treatment facilities that are more efficient in their use of energy and other resources and effective in_x000D_
removing contamination from the environment., agreement title english : Development of Nuclear Magnetic Resonance methods for the prediction of wastewater response to treatment, agreement title french : Development of Nuclear Magnetic Resonance methods for the prediction of wastewater response to treatment, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-06-14, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada