UROP Proceeding 2024-25

School of Engineering Department of Chemical and Biological Engineering 84 Design and Synthesis of Novel Cathode Material for Lithium Sulfur Batteries (LSB) Supervisor: LUO Zhengtang / CBE Student: WONG Kai Hung / SUSE Course: UROP 1100, Spring UROP 2100, Summer The report introduces an online AI agent that combines modern AI model with professional database in chemical engineering, including authentic documents, professional views, and technical reports. This AI agent in designed to help chemical engineers in specific fields of interests while the database focuses on electrochemistry and battery science papers which only contain authoritative sources. The report covers detailed research methodology, a composition explanation and limitation description, aiming to convey a clear understanding of the product. The assistant is built on a Flask framework with Python coding; the system seamlessly integrates flask framed codes and a specialized database with the DeepSeek R1 API to deliver professional responses. The architecture features a simple and user-friendly web interface for document uploading and question submission in English, while the backend processes documents and retrieves AI-generated answers. Fast-Acting Liquid Adhesives for Closing Wounds Supervisor: LUO Zhengtang / CBE Student: LIYANARACHCHI Pasindu Nikil / BIEN Course: UROP 1100, Spring Fast-acting liquid adhesives offer significant advantages for wound closure, providing rapid sealing with minimal tissue trauma. In this UROP course, we explored the synthesis and application of Poly(ethylene glycol) (PEG)-based adhesives designed for biomedical use. In addition to experimental work, I conducted a literature review focusing on comparing the stress–strain curve between skeletal muscles and hydrogel-based artificial muscles and how changing the structure of the hydrogel will affect its physical properties. This review provided an understanding of the mechanical properties and performance benchmarks relevant to soft tissue analogues, helping to set expectations for the synthesized PEG-based polymers. The focus of this report is to document the content I learned and the experience I had while working in the lab to synthesize these polymers. Non-Invasive Health Assessment via an Oral Care Device Supervisor: NYEIN Hnin Yin Yin / CBE Student: CHANDWANEY Saloni Vimal / BIEN Course: UROP 1100, Fall UROP 2100, Spring This progress report continues with the development of an electrochemical sensor-based point-of-care device for the monitoring of metabolic syndrome, a condition associated with an increased risk of developing cardiovascular diseases and diabetes mellitus. Oral fluid is collected non-invasively from the teeth and analysed to test for the biomarkers of interest, including uric acid, glucose, and cholesterol, all of which are dysregulated as a result of the syndrome and thus are viable candidates for its monitoring. Validatory procedures including conducting repeat measurements on human samples and corroborating results with those found using the device are discussed.

RkJQdWJsaXNoZXIy NDk5Njg=