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Grant: Idea to Innovation

Concordia University

$125,000.00

Phase I - A multiplexed next generation platform for cannabinoid detection

EF 2022-23

Résumé
Cannabis products are widely used as therapeutic and recreational drugs. The main target to measure impairment is a cannabis molecule called THC. THC is a common target for drug screening in the medical, athletic and law enforcement contexts. Since THC impairs motor functions, cannabis use is strictly prohibited before operating a motor vehicle or heavy machinery. Currently, there are technologies to detect THC but it suffers from high costs, bulky infrastructure, lengthy sample-to-answer results, and not user-friendly. Furthermore, all the current technologies only detect THC, and this alone does not provide an accurate assessment of impairment. A recent technology, called "EMMA-Sense" (Electrochemical Multiplatform Microfluidics Aptamer based Sensor) has been developed by Dr. Shih and his lab to enable end-users to use electrochemical detection of THC with very high sensitivity. End users can provide their saliva into a tube, inject their saliva into the device (via tube), and detect THC in one minute using their cellphone. We showed much success with real saliva samples spiked with THC, however, the fabrication of these devices are not mass manufacturable and it cannot detect other types of cannabis molecules. For this to become a commercial product, we are required to devise a mass manufacturable method for our devices and to detect multiple cannabis molecules, not just THC. Therefore, we plan to achieve these goals by designing and discovering new methods for sensing different cannabis molecules (with the help of Dr. Jonathan Perrault, INRS), design devices that can be scaled-up to mass production methods (with the help from StarFish Medical), and evaluate the new devices with saliva spiked with the different cannabis molecules. We will also have our industrial partner, Strem Biotechnologies, to evaluate the technology and to provide feedback on how we can improve the usability of the technology. These are critical steps that will increase the value of our technology and make it ready for our receptor company, Strem Biotechnology, who will potentially license and market the system.
Programme
Idea to Innovation
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
577520-2022
Name nom
Shih, Steve SCC
Department département
Electrical and Computer Engineering
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
125000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1102
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Biomedical engineering
Area of application fr
Génie biomédical
Research subject code
1901
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical technology
Research subject fr
Technologie biomédicale
Installment
inst:1
Partie
1
Nb partie
1
Application title
Phase I - A multiplexed next generation platform for cannabinoid detection
Application summary
Cannabis products are widely used as therapeutic and recreational drugs. The main target to measure impairment is a cannabis molecule called THC. THC is a common target for drug screening in the medical, athletic and law enforcement contexts. Since THC impairs motor functions, cannabis use is strictly prohibited before operating a motor vehicle or heavy machinery. Currently, there are technologies to detect THC but it suffers from high costs, bulky infrastructure, lengthy sample-to-answer results, and not user-friendly. Furthermore, all the current technologies only detect THC, and this alone does not provide an accurate assessment of impairment. A recent technology, called "EMMA-Sense" (Electrochemical Multiplatform Microfluidics Aptamer based Sensor) has been developed by Dr. Shih and his lab to enable end-users to use electrochemical detection of THC with very high sensitivity. End users can provide their saliva into a tube, inject their saliva into the device (via tube), and detect THC in one minute using their cellphone. We showed much success with real saliva samples spiked with THC, however, the fabrication of these devices are not mass manufacturable and it cannot detect other types of cannabis molecules. For this to become a commercial product, we are required to devise a mass manufacturable method for our devices and to detect multiple cannabis molecules, not just THC. Therefore, we plan to achieve these goals by designing and discovering new methods for sensing different cannabis molecules (with the help of Dr. Jonathan Perrault, INRS), design devices that can be scaled-up to mass production methods (with the help from StarFish Medical), and evaluate the new devices with saliva spiked with the different cannabis molecules. We will also have our industrial partner, Strem Biotechnologies, to evaluate the technology and to provide feedback on how we can improve the usability of the technology. These are critical steps that will increase the value of our technology and make it ready for our receptor company, Strem Biotechnology, who will potentially license and market the system.