Ultrasensitive Label-Free Flow Detector via Surface Enhanced Raman Scattering

通过表面增强拉曼散射的超灵敏无标记流量检测器

基本信息

批准号：
8575713
负责人：
Zachary Schultz
金额：
$ 19万
依托单位：
UNIVERSITY OF NOTRE DAME
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-09-02 至 2016-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8575713
关键词：
Affinity Antibodies Biological Biological Models Blood Bulla Capillary Electrophoresis Cell Culture System Cell Surface Receptors Cells Characteristics Chemicals Complex Complex Mixtures Coulter counter Coupled Cues Detection Diabetes Mellitus Diagnosis Diagnostic Disease Engineering Epitopes Equipment Flow Cytometry Goals Heart Diseases Human Immune Individual Investigation Label Laboratories Lipids Liposomes Liquid substance Mass Spectrum Analysis Metals Methods Molecular Nanostructures Nanotechnology Nature Particulate Particulate Matter Pathology Pathway interactions Performance Physiological Raman Spectrum Analysis Reagent Research Saliva Sampling Signal Pathway Signal Transduction Solutions Specificity Surface Technology Variant Vesicle base detector improved instrumentation light scattering nanostructured particle prototype public health relevance response simulation

项目摘要

DESCRIPTION (provided by applicant): The goal of this proposal is to create an ultrasensitive, chemical-specific, label-free Raman detection to enable characterization of microparticles (MPs) found in biological fluids. The particles derive from cells and are diagnostic of disease pathology, but challenge current methods of investigation. Our approach builds from initial results in our laboratory showing that we can detect individual liposomes in solution. Surface enhanced Raman scattering (SERS) from our nanostructured surface provides signal enhancements that enable particle identification. By combining microscale fluidics with nanotechnology, we will create an ultrasensitive detector that can be coupled to existing separation equipment. The specific aims of this proposal are: 1) Optimize high-efficiency SERS detection using hydrodynamic focusing in a prototype detector. 2) Demonstrate the ability to distinguish lipid vesicle samples as a model system for MPs. 3) Couple the flow detector to a capillary electrophoresis separation to analyze a complex mixture. The proposal will develop the technology, validate performance, and demonstrate utility to analyze a biological sample. We will study MPs obtained from a cell culture system to prove the efficacy of this approach. This research will produce instrumentation capable of chemical characterization at ultralow concentrations, potentially the single particle level.

描述（由申请人提供）：该提案的目标是创建一种超灵敏、化学特异性、无标记拉曼检测，以实现生物液体中发现的微粒（MP）的表征。这些颗粒源自细胞，具有诊断作用疾病病理学的研究，但对当前的研究方法提出了挑战。我们的方法基于我们实验室的初步结果，表明我们可以检测溶液中的单个脂质体。我们的纳米结构表面的表面增强拉曼散射 (SERS) 提供信号增强功能，从而实现颗粒识别。通过将微米级流体学与纳米技术相结合，我们将创建一种可以与现有分离设备耦合的超灵敏检测器。该提案的具体目标是：1）在原型探测器中使用流体动力聚焦优化高效 SERS 检测。 2) 展示区分脂质囊泡样品作为 MP 模型系统的能力。 3) 将流量检测器与毛细管电泳分离器耦合以分析复杂的混合物。该提案将开发技术、验证性能并展示分析生物样本的实用性。我们将研究从细胞培养系统中获得的 MP，以证明这种方法的有效性。这项研究将生产能够在超低浓度（可能是单颗粒水平）下进行化学表征的仪器。