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Water Surface Contamination Monitoring Using Deep UV Laser Induced Native Fluorescence and Raman Spectroscopy

机译:使用深紫外激光诱导的天然荧光和拉曼光谱法监测水和表面污染监测

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Reagentless water and surface sensors employing laser induced native fluorescence (LINF) and resonance Raman spectroscopy (RRS) in the deep UV are making significant progress in detecting chemical and biological targets and differentiating them against a wide range of background materials. Methods for optimizing sensor performance for specific target and backgrounds materials will be discussed in relationship to closed industrial environments and open natural environments. Limits of detection and chemical specificity will be discussed for high and low spectral resolution systems for a wide range of compounds and composite particles such as spores and cells. Detection and identification of single spores at working distance of several meters is illustrated. A range of sensors will be described along with their physical and performance specifications including sample, sipper and immersion sensors for water and fixed point and scanner systems for surfaces. In addition, the use of UV LINF and RRS for detection in capillary electrophoresis and liquid chromatography will be described with limits of detection in the range of a few nmol L~(-1).
机译:使用激光诱导的天然荧光(LINF)和深度紫外线的谐振拉曼光谱(RRS)在检测化学和生物学靶点并将其区分离各种背景材料来进行显着进展。用于优化特定目标和背景材料的传感器性能的方法将以与封闭的工业环境和开放的自然环境的关系讨论。对于各种化合物和复合颗粒如孢子和细胞,将讨论检测和低光谱分辨率系统的检测和化学特异性的限制。示出了在几米处的工作距离处的单个孢子的检测和识别。将描述一系列传感器以及它们的物理和性能规范,包括用于水和固定点和扫描系统的样品,SIPPER和浸没式传感器。另外,将在少数Nmol L〜(-1)的范围内,描述使用UV LINF和RRS进行毛细管电泳和液相色谱的检测。

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