Grant: Research Tools and Instruments
Université de Sherbrooke
$137,787.00
Automatic solid-phase extraction system for the study of small organic molecules in environmental and biological samples
FY 2017-18
Summary
This proposal aims to get a high-throughput extraction platform dedicated to the automatic preparation of liquid samples before analysis of small organic compounds. Solid-phase extraction (SPE) is the cornerstone of many analytical methods of quantification of small organic molecules, since without sample extraction and preconcentration, analysis would be impossible or ineffective at best. Our group of researchers is interested in the analysis of a diverse group of small molecules that have important functions or effects in air, the aquatic environment, and microorganisms. Summing up all current projects, we expect that in the next 5 years we will extract a total of about 5000 samples/year. The proposed platform allows the complete automatization of the SPE process, from cartridge conditioning to sample evaporation. High-throughput is critical to handle the high number of samples that all of our projects combined will generate. Versatility is important to extract efficiently the diverse compounds that our research studies will target (pharmaceuticals, flame retardants, plasticizers, human metabolites, bacterial metabolites, polar volatile organic compounds, polycyclic aromatic hydrocarbons, etc.) in a wide range of volumes. Also, the selected platform is a fully automated system that can work unattended for long overnight sequences. All SPE method steps can be controlled by a computer, thus simplifying method optimization and development. In terms of quality of data, the system has an excellent volumetric accuracy that is essential to achieve accurate results. Sample cross contamination, an important issue for long sequences in which different samples are extracted, is reduced using a rinsing station as well as inert materials in tubing and valves. SPE is a widely-use sample preparation technique and mastering this technique is a valuable skill for future of chemists, biologists and engineers. For that reason, the main users of the requested instrumentation will be graduate students and postdoctoral fellows. While the automatic SPE platform will reduce students laboratory work time, it will enhance their training as HQP, since instead of spending time in trivial chores, they will concentrate their efforts on critical tasks associated with their research projects, such as data analysis and interpretation.
Program
Research Tools and Instruments
Recipient
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RTI-2018-00809
Name nom
Cabana, Hubert
Department département
Génie civil - Génie civil
Organization id
68
Institution établissement
Université de Sherbrooke
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2018
Award amount
137787
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1609
Committee name en
Engineering (RTI)
Committee name fr
Génie (OIR)
Area of application code
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
1501
Research subject group en
Environmental engineering
Research subject group fr
Génie de l'environnement
Research subject en
Water quality, pollution
Research subject fr
Qualité de l'eau, pollution
Partie
1
Nb partie
1
Application title
Automatic solid-phase extraction system for the study of small organic molecules in environmental and biological samples
Keyword
NSERC
Application summary
This proposal aims to get a high-throughput extraction platform dedicated to the automatic preparation of liquid samples before analysis of small organic compounds. Solid-phase extraction (SPE) is the cornerstone of many analytical methods of quantification of small organic molecules, since without sample extraction and preconcentration, analysis would be impossible or ineffective at best. Our group of researchers is interested in the analysis of a diverse group of small molecules that have important functions or effects in air, the aquatic environment, and microorganisms. Summing up all current projects, we expect that in the next 5 years we will extract a total of about 5000 samples/year. The proposed platform allows the complete automatization of the SPE process, from cartridge conditioning to sample evaporation. High-throughput is critical to handle the high number of samples that all of our projects combined will generate. Versatility is important to extract efficiently the diverse compounds that our research studies will target (pharmaceuticals, flame retardants, plasticizers, human metabolites, bacterial metabolites, polar volatile organic compounds, polycyclic aromatic hydrocarbons, etc.) in a wide range of volumes. Also, the selected platform is a fully automated system that can work unattended for long overnight sequences. All SPE method steps can be controlled by a computer, thus simplifying method optimization and development. In terms of quality of data, the system has an excellent volumetric accuracy that is essential to achieve accurate results. Sample cross contamination, an important issue for long sequences in which different samples are extracted, is reduced using a rinsing station as well as inert materials in tubing and valves. SPE is a widely-use sample preparation technique and mastering this technique is a valuable skill for future of chemists, biologists and engineers. For that reason, the main users of the requested instrumentation will be graduate students and postdoctoral fellows. While the automatic SPE platform will reduce students laboratory work time, it will enhance their training as HQP, since instead of spending time in trivial chores, they will concentrate their efforts on critical tasks associated with their research projects, such as data analysis and interpretation.