Next-Generation Point-of-Care System: Custom Integration of Confocal Raman Spectrometer and High-Sensitivity NanoPhotonic-MicroFluidic Devices

下一代护理点系统：共焦拉曼光谱仪和高灵敏度纳米光子微流体设备的定制集成

• 批准号: RTI-2020-00629
• 负责人: Kherani, Nazir
• 金额: $ 10.93万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693796
• 关键词: Next; Generation; Point; Care; System

In spite of enormous advances in sensing technology, we still lack the ability to provide rapid identification and accurate quantification of infectious organisms and biomarkers (harbingers of various ailments) at the first point-of-care' which otherwise would serve to markedly improve and expedite early-stage diagnosis of diseases and enable close monitoring of the efficiency of prescribed treatments.******Of the many optical-photonic sensing methods, surface enhanced Raman spectroscopy (SERS) provides high specificity by revealing compositional and structural makeup of species through vibrational fingerprinting of constituent molecules. A manifold of SERS substrates, wherein predominantly metal nanoparticles are used to confine light within nanoscale interstices, have been developed to increase the SERS efficiency. However, these platforms are limited due to inherent randomness of nanoparticles (size and relative spacing), resulting in uni-wavelength or narrow band of light localization.******Recently, we have made a ground-breaking advance through the discovery of a new SERS platform - overcoming the above limitations and leading to the development of robust multi-wavelength SERS sensing substrates deep subwavelength light localization in width-graded nano-gratings amenable to economic reproducible manufacturing. ******Here, PI Nazir Kherani (Electrical and Computer Eng. (ECE) and Materials Science and Eng. (MSE) expertise in the new nanoplasmonic SERS platform), co-PI Aaron Wheeler (Chemistry proficiency in digital microfluidics), co-PI Naomi Matsuura (MSE and Institute for Biomedical and BioEng. in-depth experience with pathogens and biomarkers) and co-PI Stewart Aitchison (ECE experienced in spectroscopy of pathogens and biomarkers) propose to build and validate the first SERS based microfluidic sensing system via custom integration of a confocal Raman spectrometer. This research facility will serve to demonstrate and firmly establish the technological foundation for a highly efficacious point-of-care system for direct blood analysis.******Multidisciplinary collaboration of 3 PDFs and 5 PhDs will drive the construction and validation of the integrated sensing system. The team will systematically investigate and demonstrate high-sensitivity and rapid screening of a long list of pathogens and biomarkers in blood. This study is critical to advancing the analysis and reliability of the sensing system, wherein comprehensive optical fingerprint database corresponding to pathogens and biomarkers for infectious disease (such as sepsis) and acute leukemia cancer will be generated and analyzed using standard multivariate techniques and modern approaches such as machine learning.******This proposal is deemed urgent given its enormous potential to improve delivery of health care and reduce cost. If granted, the proposal provides a unique opportunity to establish Canada as a leader in next generation point-of-care multiplexing blood analyzers.*****

尽管在传感技术方面取得了巨大进步，但我们仍然缺乏对第一个保健的迅速识别和准确量化感染性生物和生物标志物（各种疾病的先驱者）的能力”，否则，否则将显着改善疾病的早期疾病和远期阶段的疾病诊断，并能够密切监测各种效率。拉曼光谱法（SER）通过通过构成分子的振动指纹识别物种的组成和结构构成来提供高特异性。已经开发了一系列的SERS底物，其中主要是金属纳米颗粒限制纳米级间隙中的光，以提高SERS效率。但是，这些平台由于纳米颗粒的固有随机性（尺寸和相对间距）而受到限制，导致单波长或光线定位的狭窄带。适合经济可重复的制造业。 ******在这里，Pi Nazir Kherani（电气和计算机工程（ECE）以及材料科学与工程（MSE）在新的纳米质体SERS平台上的专业知识，Co-Pi Aaron Wheeler（数字微荧光学方面的化学能力） Co-Pi Stewart Aitchison（ECE在病原体和生物标志物的光谱中经历了ECE）建议通过自定义集成共聚焦拉曼光谱仪来构建和验证第一个基于SERS的微流体传感系统。该研究机构将有助于证明并牢固为直接血液分析的高效护理系统建立技术基础。******的3 pdf和5个PHD的多学科协作将推动集成感应系统的构建和验证。该团队将系统地调查并证明对血液中一长串病原体和生物标志物的高度敏感性和快速筛查。这项研究对于推进传感系统的分析和可靠性至关重要，其中全面的光学指纹数据库对应于病原体和生物标志物的感染性疾病（例如败血症）和急性白血病癌症，并使用标准的多元变量技术和现代方法进行了诸如机器学习的范围。如果被授予，该提案将提供一个独特的机会，将加拿大成为下一代多元化血液分析仪的领导者。*****