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

• 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
• 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

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）：本提案的目标是创建一种超灵敏，化学特异性，无标记的拉曼检测，以表征生物流体中发现的微粒（MPs）。这些颗粒来自细胞，具有诊断作用