Collaborative Research: Waveguide-Integrated Graphene Nano-tweezERs (WIGNER) for rapid sorting and analysis of nanovesicles and viruses

合作研究：用于快速分选和分析纳米囊泡和病毒的波导集成石墨烯纳米镊子（WIGNER）

基本信息

批准号：
2227459
负责人：
Nathan Youngblood
金额：
$ 25万
依托单位：
University of Pittsburgh
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2022
资助国家：
美国
起止时间：
2022-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227459&HistoricalAwards=false
关键词：
Collaborative Research Waveguide Integrated Graphene

项目摘要

Nontechnical description: This project aims to design and demonstrate a sensing platform which incorporates recent advances in both electrical trapping and integration of optical circuits for rapid concentrating, sorting, and analysis of biological nanoparticles. Viruses and cellular fragments extracted from liquid samples of a patient (e.g., urine, blood, etc.) contain abundant diagnostic information which can be used to detect and treat many diseases. However, detecting a specific target bioparticle from a mixture of many other particles in the sample complicates diagnostics. Current methods for isolating the targe bioparticles often require time-consuming processes such as multiple filtering or centrifugation stages, followed by amplification. Therefore, an active biosensor which rapidly sorts, traps, and detects bioparticles based on their size and physical properties would have significant impact on the field of biosensing and medical diagnostics. Mass producing such sensors could reduce the complexity, cost, and delay for patients undergoing medical diagnostic tests. This project also provides mentoring and outreach opportunities for undergraduate and high school students who are underrepresented in STEM fields.Technical description: This project will develop a biosensor which can sort, trap, and detect extracellular vesicles (EVs) and viral specimens by combining highly confined evanescent field excitation from visible waveguides with dielectrophoretic (DEP) trapping using atomically sharp graphene electrodes. To demonstrate this Waveguide-Integrated Graphene Nano-tweezERs (or “WIGNER”) platform, the team will: 1) combine transparent DEP graphene electrodes and silicon nitride photonic waveguides; 2) integrate microfluidics for efficient aqueous nanovesicle sorting and trapping; and 3) demonstrate rapid detection and analysis of single nanovesicles and viruses using line-imaging optical scattering, fluorescence, and Raman spectroscopy. The project aims to enable physiologically selective, multimodal analysis of nanovesicles and viruses at speeds ~100× faster than conventional scanning methods (i.e., confocal fluorescence and Raman spectroscopy). Project outcomes will have immediate relevance for emerging applications in life sciences (e.g., elucidating cell signaling pathways), nanomedicine (e.g., dynamic antibody binding response to lipid membranes used in mRNA vaccines), and disease diagnosis (e.g., amplification-free viral detection).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.

非技术描述：该项目旨在设计和演示一个传感平台，该平台在电路的电气陷阱和整合中都结合了快速浓度，分类和分析生物纳米粒子的进步。从患者的液体样品（例如尿液，血液等）中提取的病毒和细胞片段包含丰富的诊断信息，可用于检测和治疗许多疾病。但是，从样品中许多其他颗粒的混合物中检测特定的靶标生物颗粒会使诊断复杂化。隔离目标生物颗粒的当前方法通常需要耗时的过程，例如多次滤波或离心阶段，然后进行扩增。因此，一个活跃的生物镜会根据其大小和物理特性迅速分类，陷阱和检测生物颗粒将对生物传感和医学诊断领域产生重大影响。产生此类传感器的质量可以减少接受医学诊断测试的患者的复杂性，成本和延迟。该项目还为在STEM领域中代表性不足的本科和高中生提供了心理和宣传机会。技术描述：该项目将开发一个生物传感器，可以通过使用可见的dielectroper troppation（Dep）trappation（Dep）trappation（Dec）结合使用高度限制的波动电气来对细胞外蔬菜（EVS）进行分类，陷阱和检测细胞外蔬菜（EV）和病毒标本。为了演示这个波导集成的石墨烯纳米二维（或“ Wigner”）平台，团队将：1）组合透明的DEP石墨烯电极和氮化硅光子波导； 2）集成的微流体，用于有效的纳米层分类和捕获； 3）使用线像光学散射，荧光和拉曼光谱法证明了对单纳维亚和病毒的快速检测和分析。该项目旨在以比传统扫描方法（即共聚焦荧光和拉曼光谱法）快〜100×naNovesicles和病毒的物理选择性，多模式分析。 Project outcomes will have immediate relevance for emerging applications in life sciences (e.g., elucidating cell signaling pathways), nanomedicine (e.g., dynamic Antibody binding response to lipid membranes used in mRNA vaccines), and disease diagnostics (e.g., amplification-free viral detection).This award reflects NSF's statutory mission and has been deemed precious of support through使用基金会的智力优点和更广泛的影响评估标准进行评估。