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Grant: Discovery Grants Program - Individual

University of Waterloo

$99,000.00

Ion Chemistry in Dynamic Electric Fields: Fundamentals and Applications

EF 2023-24

Résumé
Mass spectrometry (MS) is a cornerstone technique for chemical analysis. Forecasts project the global market to grow to $5.6 billion by 2025 with more than half of this growth coming from sales of ion mobility spectrometers, driven by the security and health sectors. My research program specializes in the chemistry and physics that underpins ion behaviour in dynamic clustering environments. Our work in this area has led to the development of several computational and experimental tools for probing the structures and properties of gas phase ionic clusters, including machine learning methods for determining cluster size and for correlating gas phase clustering behaviour with condensed phase properties (e.g., solubility). Here, I propose to explore the clustering environment of the DMS device more deeply, to develop new techniques for separating and quantifying analytes in complex mixtures, and to develop new methods for determining molecular properties.    We will: (1) develop a two-dimensional liquid chromatography and differential mobility spectrometer that is mated with a mass spectrometer, (2) explore non-reactive gases like CO2 as collision gas modifiers to protect weakly-bound analytes in energetic DMS environments, and (3) develop trapped ion photo-detachment spectroscopy for probing anionic species. Goal 1 will create a new tool for characterizing complex mixtures. Initial targets will be explosives, drugs of abuse, human metabolic biomarkers, and environmental contaminants. When device development and characterization is complete, we will engage established partners from the industrial, not-for-profit, and government sectors to mobilize the technology to the benefit of all Canadians. Machine learning will drive data acquisition and analysis. Goal 2 expands our recent work using solvent vapors to chemically modify the collision environment of DMS-MS instruments; doing so not only enhances ion mobility separation but can also protect fragile analytes from electric field-induced fragmentation in the device. By introducing non-reactive gases such as CO2, we will preserve fragile species such as nitro-explosives and acylcarnitines and enable their accurate quantification in complex mixtures. Goal 3 will employ our newly customized and globally-unique spectroscopy-enabled DMS-MS instrument to study mobility- and mass-selected anions. By introducing SF6 into the ion trap, we can capture nascent electrons and monitor the production of SF6- and SF5- when our tunable laser induces photo-detachment. This will allow us to unambiguously characterize anionic species, such as naphthenic acids isolated from oil sands processed water.    Ten highly qualified personnel (HQP) will be trained in these areas over the next five years. These HQP will have direct connections to end-users and will form strong relationships potential future employers. Importantly, their research will positively impact the environment, security, and health of all Canadians.
Programme
Discovery Grants Program - Individual
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RGPIN-2023-03501
Name nom
Hopkins, William
Department département
Chemistry
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
99000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1504
Committee name en
Chemistry
Committee name fr
Chimie
Area of application code
1002
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Environment
Area of application fr
Environnement
Research subject code
3503
Research subject group en
Analytical chemistry
Research subject group fr
Separation methods
Research subject en
Chimie analytique
Research subject fr
Méthodes de séparation
Application title
Ion Chemistry in Dynamic Electric Fields: Fundamentals and Applications
Keyword
Chemical Theory; Computational Chemistry; Gas Phase Ion Chemistry; Ion Mobility; Laser Spectroscopy; Machine Learning; Mass Spectrometery
Application summary
Mass spectrometry (MS) is a cornerstone technique for chemical analysis. Forecasts project the global market to grow to $5.6 billion by 2025 with more than half of this growth coming from sales of ion mobility spectrometers, driven by the security and health sectors. My research program specializes in the chemistry and physics that underpins ion behaviour in dynamic clustering environments. Our work in this area has led to the development of several computational and experimental tools for probing the structures and properties of gas phase ionic clusters, including machine learning methods for determining cluster size and for correlating gas phase clustering behaviour with condensed phase properties (e.g., solubility). Here, I propose to explore the clustering environment of the DMS device more deeply, to develop new techniques for separating and quantifying analytes in complex mixtures, and to develop new methods for determining molecular properties.    We will: (1) develop a two-dimensional liquid chromatography and differential mobility spectrometer that is mated with a mass spectrometer, (2) explore non-reactive gases like CO2 as collision gas modifiers to protect weakly-bound analytes in energetic DMS environments, and (3) develop trapped ion photo-detachment spectroscopy for probing anionic species. Goal 1 will create a new tool for characterizing complex mixtures. Initial targets will be explosives, drugs of abuse, human metabolic biomarkers, and environmental contaminants. When device development and characterization is complete, we will engage established partners from the industrial, not-for-profit, and government sectors to mobilize the technology to the benefit of all Canadians. Machine learning will drive data acquisition and analysis. Goal 2 expands our recent work using solvent vapors to chemically modify the collision environment of DMS-MS instruments; doing so not only enhances ion mobility separation but can also protect fragile analytes from electric field-induced fragmentation in the device. By introducing non-reactive gases such as CO2, we will preserve fragile species such as nitro-explosives and acylcarnitines and enable their accurate quantification in complex mixtures. Goal 3 will employ our newly customized and globally-unique spectroscopy-enabled DMS-MS instrument to study mobility- and mass-selected anions. By introducing SF6 into the ion trap, we can capture nascent electrons and monitor the production of SF6- and SF5- when our tunable laser induces photo-detachment. This will allow us to unambiguously characterize anionic species, such as naphthenic acids isolated from oil sands processed water.    Ten highly qualified personnel (HQP) will be trained in these areas over the next five years. These HQP will have direct connections to end-users and will form strong relationships potential future employers. Importantly, their research will positively impact the environment, security, and health of all Canadians.