RAPID: Mixed-Dimensional Heterostructure Materials based SERS for Trace Level Fingerprint Identification of SARS-CoV-2 RNA

RAPID：基于混合维异质结构材料的 SERS，用于 SARS-CoV-2 RNA 痕量水平指纹识别

• 批准号: 2030439
• 负责人: Paresh Ray
• 金额: $ 20万
• 依托单位: Jackson State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-15 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030439&HistoricalAwards=false
• 关键词: RAPID; Mixed; Dimensional; Heterostructure; Materials

Current novel coronavirus infection (COVID-19) diagnostic tests, used worldwide, take significant time, typically more than a day, to confirm results. There is an urgent need for a rapid coronavirus test platform throughout the world at this moment. This RAPID project will develop sensitive, fast and simple-to-use optical techniques to detect viral-RNA using Raman spectroscopy, which has capability for specific identification of COVID-19. The goal of this project is to design new material-based robust optical platform to detect trace level virus RNA. This will be accomplished by measuring the Raman signal from COVID-19 RNA. The expected outcome is a nanomaterial based technology underlying a portable device for accurate and immediate diagnosis of viral infections from COVID-19. The proposed research will enable approaches that mitigate the negative impacts of COVID-19 on public health, society, and the economy. This Rapid Response Research (RAPID) grant supports research with funding from the Partnerships for Research and Education in Materials (PREM) Program in the Division of Materials Research of the Mathematical and Physical Sciences Directorate, with co-funding from the HBCU-EiR program.Novel material-based technologies for sensitive and rapid identification of COVID-19 is very important to tackle COVID-19 epidemic threat. The current project will contribute towards the development of novel mixed dimensional heterostructure based surface enhanced Raman spectroscopy (SERS) platform for highly efficient and immediate fingerprint identification of SARS-CoV-2 RNA. Specifically, the objectives include development of innovative 2D-0D, 1D-0D, and 2D-1D heterostructure building blocks and creating novel heterostructure-based SERS platform-based technology. The mixed-dimensional heterostructure material will offer opportunities for revolutionary advances in designing SERS platform. The SERS platform will provide accurate identification of the COVID-19 RNA, which can be used in both clinical and field settings. The RAPID program will serve as the bridge among scientific research, technological development, and educational activities for African American students.This grant is being awarded using funds made available by the Coronavirus Aid, Relief, and Economic Security (CARES) Act supplemental funds allocated to MPS.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

目前全球使用的新型冠状病毒感染（COVID-19）诊断测试需要大量时间（通常超过一天）来确认结果。目前，全球迫切需要一个快速的冠状病毒检测平台。该RAPID项目将开发灵敏、快速和易于使用的光学技术，使用拉曼光谱检测病毒RNA，该光谱具有特异性识别COVID-19的能力。本项目的目标是设计基于新材料的稳健光学平台，用于检测痕量病毒RNA。这将通过测量来自COVID-19 RNA的拉曼信号来实现。预期成果是基于纳米材料的技术，该技术支持便携式设备，用于准确和即时诊断COVID-19病毒感染。拟议的研究将使减轻COVID-19对公共卫生，社会和经济的负面影响的方法成为可能。该快速反应研究（RAPID）基金支持数学和物理科学理事会材料研究部材料研究与教育伙伴关系（PREM）计划的资助，以及HBCU-EiR计划的共同资助。用于敏感和快速识别COVID-19的新型材料技术对于应对COVID-19疫情威胁非常重要。本项目将致力于开发基于混合维异质结构的新型表面增强拉曼光谱（Sers）平台，用于高效和即时的SARS-CoV-2 RNA指纹识别。具体而言，目标包括开发创新的2D-0 D，1D-0 D和2D-1D异质结构构建模块，并创建基于异质结构的新型Sers平台技术。混合维异质结构材料将为Sers平台的设计提供革命性的进步。Sers平台将提供COVID-19 RNA的准确识别，可用于临床和现场环境。RAPID计划将作为科学研究，技术开发和非裔美国学生教育活动之间的桥梁。该赠款将使用冠状病毒援助，救济，经济安全（CARES）该奖项反映了NSF的法定使命，并通过使用基金会的智力价值进行评估，更广泛的影响审查标准。

项目成果

Aptamer Conjugated Gold Nanostar-Based Distance-Dependent Nanoparticle Surface Energy Transfer Spectroscopy for Ultrasensitive Detection and Inactivation of Corona Virus

• DOI: 10.1021/acs.jpclett.0c03570
• 发表时间: 2021-02-25
• 期刊: JOURNAL OF PHYSICAL CHEMISTRY LETTERS
• 影响因子: 5.7
• 作者: Pramanik, Avijit;Gao, Ye;Ray, Paresh Chandra
• 通讯作者: Ray, Paresh Chandra