DCU-Final-Year-Projects-Booklet-2025

74 126. Rapid E. coli Detection for Environmental Monitoring Using Lab-on-a-Disc Technology This project aims to develop a lab-on-a-disc (LoaD) system for the rapid detection of E. coli in water using DNA amplification and colorimetric detection. The device will utilise centrifugal microfluidic technology to automate the processes of DNA extraction, amplification, and detection on a compact disc platform. Designed for ease of use, this systemwill be deployable in various environmental settings for on-site water testing, providing a crucial tool for real-time monitoring of water quality. The colorimetric detection method will allow users to visually interpret results without the need for complex instrumentation, making the device particularly suitable for use in remote or resource-limited areas, where quick and reliable water safety assessments are essential. Student Programme Biomedical Engineering (Year 5) Project Area 3-DModelling, Device Design, Mechanical Design andManufacture, Microfluidics Project Technology Excel/VB, Solidworks, microfluidics Student Name(s) Monjolaoluwa Rotimi Email monjolaoluwa.rotimi3@mail.dcu.ie Supervisor Dr Éadaoin Carthy 127. Concussion Detection Sensors for Roller Sports This project investigates a system capable of detecting the forces experienced by the head and neck during roller sports. Existing data on concussions in roller sports is often self-reported, making it unreliable and increasing the risks to player welfare. The system uses two Inertial Measurement Units (IMUs) and Arduino Unomicrocontrollers to record the acceleration and rotational movements, assessing the severity of impacts and concussion risks. Unlike traditional data collection methods that rely on subjective assessment, this systemprovides objective, sensor-based information. By enabling accurate impact measurement, this project aims to improve player safety and aid in the development of protective gear used in roller sports. Student Programme Mechatronic Engineering (Year 4) Project Area 3-DModelling, Arduino, Biomedical Engineering, Embedded Systems, Mechatronic Systems, Motion Analysis, Sensor Data, Sensor Technology, Wearable_Technology Project Technology C/C++, Excel/VB, Solidworks Student Name(s) Michael Prendergast Email michael.prendergast7@mail.dcu.ie Supervisor Dr Leah Ridgway 128. Debottlenecking; aMondel_z Ireland Production Limited Performance Initiative Mondel_z International is a global leader in confectionery and snack manufacturing. This project develops a performance improvement initiative aimed at increasingmanufacturing efficiency by reducing rework, thereby lowering business reprocessing costs. A cost-effective root-cause analysis using amechatronic systemgenerates live manufacturing data and process insights. This newly generated data establishes an issue baseline, which is then used to drive the performance improvement solution. Student Programme Mechatronic Engineering (Year 5) Project Area Automation, Data Analytics, Mechanical Design andManufacture, Mechatronic Systems, Sensor Technology Project Technology Excel/VB, PLC Programming, Python, Solidworks, Machine Learning Student Name(s) Stephen Bogan Email stephen.bogan2@mail.dcu.ie Supervisor Dr Nigel Kent