Grants and Contributions

Not a Project (Mandated or Core Funding)

P043650

Pea proteins are now a major ingredient used in plant-based foods, with Canada being recognized as a major producer and exporter of dry peas. Pea protein concentrates and isolates are a complex mixture of proteins, the structure and composition of which directly impacts the functionality of pea protein ingredients, such as their ability to remain soluble, bind water, and form and stabilize emulsions and foams. Protein functionality thus affects the overall food quality. Pea protein structure and composition is affected by the use of different isolation methods (e.g., dry- and wet?fractionation), processing conditions, and different pea varieties, which in turn determines the functionality of these as ingredients in food. A clear understanding of how these different factors are interrelated is currently lacking, particularly for commercially-prepared samples. This project will combine analyses of protein composition, structure and functionality focused on commercially-relevant pea protein concentrates and isolates. This project will help reveal how different processing conditions affect pea protein structure and composition and, in-turn, functionality. This knowledge could be used by industry to optimize the manufacture of pea protein ingredients with improved function, sensory and nutritive properties.

To create an automated "content moderation" capability for the firm's short-form video delivery platform.

The objectives of this project are to test and further advance river ice modelling capabilities in the open-source hydrodynamic modelling package TELEMAC. This will be achieved by testing the capabilities of the existing KHIONE module for simulating frazil ice generation, and through development and implementation of dynamic ice cover routines within TELEMAC. The long-term objective is to develop capabilities to model river ice break-up processes. These new routines will be tested with available data on river ice cover dynamics.

EUREKA ITEA 3 Cluster - The 2020 ENTA consortium project co-led by Solana Networks (CAN) and Metodos y Tecnologia (ESP) will deliver an encrypted network traffic analysis service platform. The ENTA platform will leverage the latest techniques in Artificial Intelligence to enhance cyber security and network operations for Enterprise Networks and Service Providers while safe-guarding user privacy.

Ekstera Inc. is developing a generator that produces electricity from a range of heat sources including wood, waste, solar, propane, and many others. The electricity generated will be affordable, sustainable, quiet, and reliable.

The proposed project will be focused on conducting feasibility studies, at R&D scale, on creating multiple coproducts from the waste stream. Specifically, the project will include:
1. Researching the specifications of low, medium, and high value coproducts, conducting chemical analysis of Mara’s waste stream and coproducts, with particular focus on the nutritional value and the specifications required by the relevant product.
2. Reviewing literature and researching methods to separate lipid fractions from aqueous phase, performing feasibility trials to extract high omega-3 lipid fractions from the waste stream.
3. Optimizing ultrafiltration process to improve cost efficiency for producing medium value coproducts at scale.

Extend products to enable on-platform claim collaboration.

Platform will be feature complete on initial vision of the 2SCP after 6-months, with a planned MVP for early April.

SunDraco Power Inc. is developing a novel solar energy collection and storage technology. This project will use computational fluid dynamics (CFD) analysis to optimize the design of a key component of SunDraco's SunScoop solar collector: the heat exchanger within the receiver that captures reflected sunlight.