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Surface enhanced Raman spectroscopy detection of trace chemicals in inhomogeneous fluid mixtures

机译:表面增强拉曼光谱法检测不均匀流体混合物中的痕量化学物质

摘要

Detecting trace chemicals in heterogeneous fluid mixtures has a variety of possible applications for example in food industry. The drivers of this development have not only been build on consumer awareness but have also been emphasized by decision makers at the EU level. The current laboratory methods are laborious, expensive and slow, which challenges their application in milk quality control especially in terms of qualitatively detecting such chemical residues an melamine. More studied are therefore needed of methods that are applicable as field devices for consumer use and as on-line analysers for industrial contexts.The more complex the media the more challenging the detection of a chemical. Separating relevant information from the raw measurement data poses a difficult task. Moreover the sample preparation should be designed to guarantee stable measurement performance for obtaining usable data. In this thesis work the sample preparation chain and substrate handling are looked into. The issues most severely hindering the detection are stem from sample preparation and Surface Enhanced Raman Spectroscopy substrate performance. Which constitute fundamental issues requiring further examination. Due to the high amount of uncontrolled variables, the results stated here are not statistically tested.The project achieved to produce sample preparation schemes that result in samples of different types of spreading on the substrates. Furthermore different kind of noise noise was seen in the spectra of the two sample preparation schemes. The development in data treatment and possible further investigation of the sampling chain together dictate the direction in which sample pretreatment ought to be taken.
机译:检测非均质流体混合物中的痕量化学物质具有多种可能的应用,例如在食品工业中。这种发展的驱动力不仅建立在消费者意识上,而且在欧盟一级的决策者中也得到了强调。当前的实验室方法费力,昂贵且缓慢,这给它们在牛奶质量控制中的应用提出了挑战,特别是在定性检测这种化学残留物三聚氰胺方面。因此,需要进一步研究适用于消费者使用的现场设备以及适用于工业环境的在线分析仪的方法。介质越复杂,对化学物质的检测就越具有挑战性。从原始测量数据中分离出相关信息是一项艰巨的任务。此外,样品设计应确保获得可用数据时稳定的测量性能。在这篇论文中,研究了样品制备链和底物处理。最严重阻碍检测的因素是样品制备和表面增强拉曼光谱底物性能。构成基本问题需要进一步研究。由于大量不受控制的变量,此处所述结果未经统计检验。该项目旨在产生样品制备方案,从而导致样品在基材上扩散的类型不同。此外,在两种样品制备方案的光谱中看到了不同种类的噪声。数据处理的发展以及对采样链的进一步研究共同决定了样品预处理的方向。

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  • 作者

    Tiainen Laura;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 en
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