Integrating Nano-devices with Microfluidic Systems

将纳米器件与微流体系统集成

• 批准号: 2825966
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2825966
• 关键词: Integrating; Nano; devices; Microfluidic; Systems

Nanodevices enable high resolution bio-detections for digital healthcare applications. In this respect, point-of-care (POC) devices have a critical role in rapid diagnosis, prevention and treatment of human diseases. Binding is a key factor in the biosensor performance. To achieve a good performance of biosensors, one needs to examine the biomolecular interactions with sensors. Transferring bio-molecules into the sensing platform is the fundamental challenge to use nanostructures for biosensing purposes. This project aims to introduce a novel platform to understand the mass transport and binding kinetic process in microfluidic integrated biosensors. This includes a comprehensive flow behaviour analysis for a single bio-molecule detection followed by a systemic binding kinetic model of various species into pre-defined nanosensors. This project will have a wide range of applications from drug discovery to medical diagnostics, to food safety, to agricultural and environmental monitoring. The purpose of this project, therefore, is to develop new mathematical and computation tools for analysing binding kinetics in biosensors, with a focus on assisting next generation technologies for rapid and effective diagnosis, which is aligned with the EPSRC Healthcare Technologies theme. The proposed project will support the development and optimisation of sensor technologies commercialised by Eluceda for biological, chemical, and in vitro diagnostic applications.

纳米设备为数字医疗保健应用提供高分辨率生物检测。在这方面，即时护理（POC）设备在人类疾病的快速诊断、预防和治疗中发挥着至关重要的作用。结合是生物传感器性能的关键因素。为了实现生物传感器的良好性能，需要检查生物分子与传感器的相互作用。将生物分子转移到传感平台是将纳米结构用于生物传感目的的根本挑战。该项目旨在引入一个新颖的平台来了解微流控集成生物传感器中的质量传递和结合动力学过程。这包括对单个生物分子检测进行全面的流动行为分析，然后将各种物质结合到预定义的纳米传感器中的系统结合动力学模型。该项目将具有广泛的应用，从药物发现到医学诊断、食品安全、农业和环境监测。因此，该项目的目的是开发新的数学和计算工具来分析生物传感器中的结合动力学，重点是协助下一代技术进行快速有效的诊断，这与 EPSRC 医疗保健技术的主题相一致。拟议项目将支持 Eluceda 商业化的生物、化学和体外诊断应用传感器技术的开发和优化。