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Noise Sources and Requirements for Confocal Raman Spectrometers in Biosensor Applications

机译:生物传感器应用中共聚合拉曼光谱仪的噪声源和要求

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摘要

Raman spectroscopy probes the biochemical composition of samples in a non-destructive, non-invasive and label-free fashion yielding specific information on a molecular level. Nevertheless, the Raman effect is very weak. The detection of all inelastically scattered photons with highest efficiency is therefore crucial as well as the identification of all noise sources present in the system. Here we provide a study for performance comparison and assessment of different spectrometers for confocal Raman spectroscopy in biosensor applications. A low-cost, home-built Raman spectrometer with a complementary metal-oxide-semiconductor (CMOS) camera, a middle price-class mini charge-coupled device (CCD) Raman spectrometer and a laboratory grade confocal Raman system with a deeply cooled CCD detector are compared. It is often overlooked that the sample itself is the most important “optical” component in a Raman spectrometer and its properties contribute most significantly to the signal-to-noise ratio. For this purpose, different representative samples: a crystalline silicon wafer, a polypropylene sample and E. coli bacteria were measured under similar conditions using the three confocal Raman spectrometers. We show that biosensor applications do not in every case profit from the most expensive equipment. Finally, a small Raman database of three different bacteria species is set up with the middle price-class mini CCD Raman spectrometer in order to demonstrate the potential of a compact setup for pathogen discrimination.
机译:拉曼光谱法以非破坏性,无侵入性和无标记的方式探测样品的生化组成,得到了分子水平的具体信息。然而,拉曼效应非常弱。因此,检测具有最高效率的所有内侧散射的光子是至关重要的,也是系统中存在的所有噪声源的识别。在这里,我们提供了对生物传感器应用中的共焦拉曼光谱的不同光谱仪的性能比较和评估研究。具有互补金属 - 氧化物半导体(CMOS)相机的低成本,家用的拉曼光谱仪,中产阶级迷你电荷耦合器件(CCD)拉曼光谱仪和具有深度冷却CCD的实验室级共焦拉曼系统比较探测器。它常常被忽略了,样品本身是拉曼光谱仪中最重要的“光学”组件,其性质最重要地贡献到信噪比。为此目的,在使用三个共焦拉曼光谱仪的类似条件下测量不同的代表性样品:结晶硅晶片,聚丙烯样品和大肠杆菌细菌。我们表明生物传感器应用程序不在最昂贵的设备中的每个案例中。最后,使用中等价格级别的Mini CCD拉曼光谱仪建立了三种不同细菌种类的小拉曼数据库,以证明对病原体鉴别的紧凑型设置的潜力。

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