Sensory Characteristics and Metabolomics for Flavour Selection in Pork

The hog industry in Manitoba is a very efficient means of converting grains and pulses into high quality protein. Fresh pork is a healthy and nutritious source of protein, yet demand remains static. One of the main reasons cited by consumers for not choosing pork is the absence of good taste in modern pork. The objective of this project is to get fresh pork back on the dinner table by restoring its flavour. The process in which to achieve this goal will include the use of sensory analysis to test the flavour of 1,350 pork tenderloin samples from an array of breeds supplied by Maple Leaf.

Nutrition for Two: development of interactive nutrition research tools and a pretrial for food and nutrition intake trend among the First Nation’s pregnant women

Prenatal alcohol exposure results in a vast spectrum of teratogenic effects and lifelong implications for a child, called fetal alcohol spectrum disorder (FASD). Since FASD is not genetic-related and there is no treatment to reverse damage caused to the brain, earlier nutrition intervention to pregnant mothers may be a key to prevent or mitigate the severity of FASD.

Control of HVDC Links in Synchronous and Asynchronous AC Grids using Wide Area Phase Angle Measurement

High Voltage DC Transmission (HVDC) is used for bulk power transfer over long distances. Manitoba Hydro’s HVDC system involves collection of AC power in the north where it is converted to DC and then transferred to southern Manitoba (approx 900km) through asynchronous HVDC links where it is converted back to AC to feed consumers. Asynchronous HVDC links can be used for improving electro-mechanical dynamics of the interconnected AC grids. This includes the functions of power swing damping, emulation of inertia and power-frequency droop.

Circulating Tumor Cell (CTC) telomeric analysis in pre-treatment and post-treatment patients with prostatic adenocarcinoma; a look at prognostic variability and responsive elements

The intern will analyze blood samples of patients with high-risk prostate cancer. The cancer cells will be isolated from the blood sample and the genetic material will be stained and then imaged by a high-intensity-high-focus 3D microscope. Next, the telomeres (ends of genes) will be studied and compared. The point is to see the progression of cancer cells in the blood at the time of diagnosis and then also after treatment has been given. The results will be useful in predicting possible screening methods that are much more economical and less invasive.

Manitoba researchers investigate link between diabetes and dementia

Supervised by Assistant Professor Eftekhar Eftekharpour, Jesua is part of a research team that is investigating a possible biological connection between diabetes and dementia. While recent population studies point to a correlation between diabetes and an increased risk of developing dementia, researchers don’t yet know the exact biological mechanisms that explain it. Jesua is spending his summer investigating one possible answer.

Production of Healthy DAG-Enriched Oil from Canola Using Supercritical Carbon Dioxide Media in Par-Baked Frozen Dough Products

Structured lipids, specifically diacylglyceride (DAG) oils, have potential to replace trans fats and oils high in saturated fats such as palm and thus provide healthier oils with improved functionalities and sustainability. However, they are produced using costly and environmentally unfriendly “enzyme in solvent” systems, and have shortcomings when utilized in certain food applications. DAG oils are clinically claimed to help reduce fat accumulation and can have a major impact on obesity, which is currently identified as a global health risk by the United Nations World Health Organization.

Implementing a novel infectious disease diagnosis assay to a microfluidic device

Infectious diseases ranging from avian influenza to Ebola virus infection are among the most serious health emergencies in Canada and globally. Current diagnosis methods such as cell culture, ELISA and PCR suffer from inaccuracy, high-cost and lengthy procedures. Therefore, there has been a growing trend to develop new point-of-care diagnostic tools and microfluidic devices are considered as an important enabling technology owing to its advantages in miniaturization, precise fluidic control, low-cost and high-throughput.

Enhancing water stress tolerance in soybean through phytoglobin manipulations

The purpose of the project is to generate soybean plants able to tolerate whole plant submergence and waterlogging (soil submergence). This will be achieved by inducing Pgb, a gene normally present in soybean and known to confer tolerance to excessive humidity, through genetic manipulations. Correlative studies between Pgb expression and performance under excessive water conditions will also be conducted in commercial varieties of soybean. Similar studies will be conducted to assess the effect of altered Pgb level to drought stress.

Computer vision system for ice detection on power cables

In northern countries, ice storms can cause major power disruptions such as the one that occurred in the Toronto area on December 2013 that left more than 300,000 customers with no electricity immediately after the storm. Prediction of ice formation on power cables can help on taking actions for removing the ice before a major problem occurs. Currently Manitoba Hydro HVDC Research Centre has a vision based ice detection system that uses digital images taken from the overhead line conductors.

Modeling and HIL Simulation of Modular Multilevel Converters

The proposed internships will be aimed at developing advanced computer (software) and hardware platforms for simulation of modern power-electronic converter systems used in emerging electric power transmission systems. In particular, modular multi-level converter (MMC) simulations will be targeted. These converters are considered the primary candidates for dc systems used to integrate renewable energy sources into the existing grid. These two internships will develop functional models that can be readily used for the analysis and design of systems involving modular multi-level converters.