首页> 外国专利> Enhancing Raman spectrographic sensitivity by using solvent extraction of vapor or particulate trace materials, improved surface scatter from nano-structures on nano-particles, and volumetric integration of the Raman scatter from the nano-particles' surfaces

Enhancing Raman spectrographic sensitivity by using solvent extraction of vapor or particulate trace materials, improved surface scatter from nano-structures on nano-particles, and volumetric integration of the Raman scatter from the nano-particles' surfaces

机译:通过使用溶剂萃取蒸气或微粒痕量材料,提高纳米颗粒上纳米结构的表面散射以及纳米颗粒表面上拉曼散射的体积积分来提高拉曼光谱敏感性

摘要

This invention is a method to enhance by orders of magnitude accurate, real-time, stand-off detection by a sensor using Raman spectra of one or more trace compounds of interest (particularly explosives, bioterror organisms, or Volatile Organic Compounds). A colloid, whose medium of suspension is a liquid solvent with a weak Raman spectrum and in which are suspended particles of a noble metal that are preferentially nano-sized to maximize the surface-to-mass ratio for each particle, forms an impingement base. A sample of this colloid is air-pumped through a sampling module, exposed to air potentially carrying trace molecules from the compound of interest, then sent to a detection module that subjects the sample to Raman spectroscopy. The result is first corrected to obtain a unique Raman spectra from the trace molecules, then matched against Raman spectra in a database. Extensions include modifying, flushing, further processing, or recirculating the colloid sample.
机译:本发明是一种利用拉曼光谱对一种或多种感兴趣的痕量化合物(特别是炸药,生物恐怖生物或挥发性有机化合物)进行传感器的精确,实时,远距离检测的方法,其数量级提高。胶体形成了碰撞基础,该胶体的悬浮介质是具有弱拉曼光谱的液体溶剂,并且在其中悬浮着优先为纳米尺寸以最大化每个颗粒的表面质量比的贵金属悬浮颗粒。将该胶体样品通过采样模块进行空气泵送,使其暴露于可能携带有来自感兴趣化合物的痕量分子的空气中,然后发送至检测模块,该模块对该样品进行拉曼光谱分析。首先对结果进行校正,以从痕量分子获得唯一的拉曼光谱,然后将其与数据库中的拉曼光谱进行匹配。扩展包括修改,冲洗,进一步处理或再循环胶体样品。

著录项

  • 公开/公告号US2008268548A1

    专利类型

  • 公开/公告日2008-10-30

    原文格式PDF

  • 申请/专利权人 MATTHEW MARK ZUCKERMAN;

    申请/专利号US20060397074

  • 发明设计人 MATTHEW MARK ZUCKERMAN;

    申请日2006-04-03

  • 分类号G01N21/76;

  • 国家 US

  • 入库时间 2022-08-21 20:14:28

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