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Grant: CCI Applied Research and Development Grants

Northern Alberta Institute of Technology

$150,000.00

Detection and identification of microplastics using inline and laboratory analysis methods for an industrial water treatment process

FY 2024-25

Summary
Microplastics are plastic materials below 5mm in length and are an emerging contaminant of global concern since studies have linked them to several health concerns, including carcinogenesis and tissue damage, among others. Studies have also shown microplastics are widely dispersed in the environment and accumulate at multiple levels of the food chain. Microplastics are thought to enter the environment in numerous ways, including through landfills, municipal wastewater treatment plants, and industrial waste or discharge. Although there are currently no regulations regarding microplastic levels in drinking or process water in Canada, it is anticipated that legislation will soon be passed to monitor and control microplastic levels in water. However, it is currently very challenging to monitor microplastics inline in industrial applications given that microplastics are very small, hard to detect, and not very abundant in typical process flow. This project seeks to address this gap by developing and testing an inline microplastic detection system in partnership with Inter Pipeline Ltd, who operates a polypropylene plant. Our system will be equipped with various technologies used to detect and characterize microplastics, including Raman spectrometers and focused beam reflectance measurement (FBRM) probes. The system will also have a turbidity meter, vessel with mixing stand, domestic water filtration unit, and pumping system with automated control valve and ultrasonic flow meter. One of the challenges for inline microplastic detection is the low abundance of microplastics in samples such as industrial waste. To overcome this challenge, our prototype will test two different mechanisms to guide and isolate microplastics through the inline system. We will also rigorously verify our results by performing concomitant offline measurements and characterization of the sample liquids tested by our system. This will include Raman spectroscopy microscopy, µ-Fourier transform infrared (FTIR) microscopy for a molecular composition of solids, mapping of samples, material distribution, number, and size for particles, and scanning electron microscopy to obtain high resolution physical characteristics such as surface topography, size, and shape. By developing technology and methodology to quantify microplastics in effluent, our project will help drive evidence-based decisions to improve water quality, positively impacting local ecosystems and reducing risks to human health.
Program
CCI Applied Research and Development Grants
Location
Alberta, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
CCARD-2024-00106
Name nom
Burhan, Muhammad
Department département
Centre for Sensors and Systems Integration - Northern Alberta Institute of Technology
Organization id
25090
Institution établissement
Northern Alberta Institute of Technology
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
150000
Program id
CCARD
Program name en
CCI Applied Research and Development Grants
Program name fr
ICC Subventions de recherche et développement appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
nan
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF2010107
Field of research list names en
Water resources infrastructure engineering
Field of research list names fr
Génie des infrastructures des ressources hydriques
Socioeconomic objective list codes
RDS10202
Socioeconomic objective list names en
Water provision and waste services
Socioeconomic objective list names fr
Services d'approvisionnement en eau et services des déchets
Application title
Detection and identification of microplastics using inline and laboratory analysis methods for an industrial water treatment process
Keywords
microplastics; wastewater treatment; polypropylene; automation; raman spectroscopy
Application summary
Microplastics are plastic materials below 5mm in length and are an emerging contaminant of global concern since studies have linked them to several health concerns, including carcinogenesis and tissue damage, among others. Studies have also shown microplastics are widely dispersed in the environment and accumulate at multiple levels of the food chain. Microplastics are thought to enter the environment in numerous ways, including through landfills, municipal wastewater treatment plants, and industrial waste or discharge. Although there are currently no regulations regarding microplastic levels in drinking or process water in Canada, it is anticipated that legislation will soon be passed to monitor and control microplastic levels in water. However, it is currently very challenging to monitor microplastics inline in industrial applications given that microplastics are very small, hard to detect, and not very abundant in typical process flow. This project seeks to address this gap by developing and testing an inline microplastic detection system in partnership with Inter Pipeline Ltd, who operates a polypropylene plant. Our system will be equipped with various technologies used to detect and characterize microplastics, including Raman spectrometers and focused beam reflectance measurement (FBRM) probes. The system will also have a turbidity meter, vessel with mixing stand, domestic water filtration unit, and pumping system with automated control valve and ultrasonic flow meter. One of the challenges for inline microplastic detection is the low abundance of microplastics in samples such as industrial waste. To overcome this challenge, our prototype will test two different mechanisms to guide and isolate microplastics through the inline system. We will also rigorously verify our results by performing concomitant offline measurements and characterization of the sample liquids tested by our system. This will include Raman spectroscopy microscopy, µ-Fourier transform infrared (FTIR) microscopy for a molecular composition of solids, mapping of samples, material distribution, number, and size for particles, and scanning electron microscopy to obtain high resolution physical characteristics such as surface topography, size, and shape. By developing technology and methodology to quantify microplastics in effluent, our project will help drive evidence-based decisions to improve water quality, positively impacting local ecosystems and reducing risks to human health.