Canadian public and private researchers have taken an interest in a new class of light-emitting materials which can produce better colour in OLED smartphone and television screens. Currently, the only way to fully confirm that a specific material in this class has the desired properties is to build it into a prototype OLED pixel. This slows discovery, because researchers need to figure out how to make larger batches of a specific material just to confirm whether that material is useful.
As increasing international competition and environmental pressures, Canadian oil sands producers must develop new technologies to more competitively deliver their product to market that have lower greenhouse gas (GHG) emissions. Flow Control Devices (FCDs) are one such technology. These devices are placed in the injection and production wells and enable more efficient access to the reservoir. The result is improved economics and thermal efficiency which directly is tied to GHG emissions.
The current key challenges in manufacturing of pharmaceuticals in general and vaccines in particular is the lack of rapid measurements for monitoring the processes in real time, lack of understanding of the correlation between operating conditions to the productivity of antigens composing the vaccines and contaminations that affect the purification processes.
This project proposes the use of carboxylated cellulose nanocrystals (CNCs) - developed and manufactured by Anomera Inc. from Canadian forests - as nano-inclusions to tailor a set of properties in latex-based PSA nanocomposites towards enhanced performance. Due to their unique properties, CNCs can significantly enhance the mechanical performance of latex-based PSAs.
The aim of this research and development project is to design and develop new tools using 3D printing and injection molding technologies for reliable collection of biospecimen for the use with diagnostic kits and point-of-care devices capable of diagnosis of COVID-19. The developed sample collection tools will be eventually delivered to Shapetry Labs Inc. to evaluate their clinical and safety performance and to help managing COVID-19.
The intern will work with the company PBE Expert on the field; she will gain technical experience on the cannabis industry. Specifically, she will research and work on cannabis extraction and purification techniques. She will research problems and issues faced by cannabis producers in regards to the extraction and purification techniques. In the lab, she will focus on developing new or improved technologies.
The partner organisation will supervise the intern.
In order to prevent vision loss for many diseases affecting the light-sensing tissue of the eye known as the retina, materials are injected into the eye to replace the jelly-like material known as the vitreous which is removed to treat the disease. Synakis is focused on developing a superior vitreous substitute which will avoid blurry vision, avoid the need for patients to lay face-down or have a second surgery to remove the substitute overall improving patient care.
Sequencing batch reactor (SBR) is an activated sludge process that has been used successfully in municipal and industrial wastewater treatment. SBR process is operated in a batch mode where different batch phases run successively in a single tank or several tanks operating in parallel. Many studies on real-time control strategies have been employed to check the effects of parameters on SBR operation.
Anaerobic Digesters are used in farm-based, municipal and industrial settings to convert wastes (manure and crop residues) as well as other feedstock material (fat, grease, oil and food wastes) to biogas. Produced digestate is rich in nutrients such as phosphate, nitrogen, (and other minor nutrients) and is mixed with water that makes the transportation costly and can’t be land applied due to excess of phosphate, nitrate and ammonia.
Sanofi Pasteur has established a cutting-edge facility for the production of different types of vaccines in Toronto. This state-of-the-art facility is comprised of various complex mixing operations, which play significant role in the vaccine production. Currently, there is lack of sufficient information about the hydrodynamics of these mixing units for the process validation. In this project, computational fluid dynamics and tomography will be utilized to characterize and optimize the operations of mixing units. The CFD model will be validated using tomography data.