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Spectroscopic methods for detection of impurities in water

机译:光谱法检测水中杂质

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Optical photoluminescence spectroscopic method for detection of impurities, hazardous materials, pesticides, and pollutants in water resources, both qualitatively and quantitatively, is presented. The method is based on synchronous fluorescence spectroscopy (SFS) of organic aromatic compounds, or poly-aromatic hydrocarbons (PAH), and is carried out by following simultaneously their excitation and emission spectra. The full excitation emission matrix (EEM) generated in this way provides a 2-D and 3-D fluorescence map of the tested sample and the diagonals through the axes origin provide the synchronous fluorescence spectra at a constant wavelengths differences between the emission and excitation wavelengths, thus enabling multitude components identification. This map contains all the relevant spectroscopic information of the tested sample, and serves as a unique "fingerprint" with a very specific and accurate identification. When compared with pre-determined spectra and calibration curves from a "databank", there is a one-to-one correspondence between the image and the specific compound, and it can be identified accurately both qualitatively and quantitatively. This method offers several significant advantages, and it provides a sensitive (ppm detection level), accurate and simple spectroscopic tool to monitor impurities and pollutants in water. The design and performance of the spectrofluorimeter prototype, as well as the software development and analysis of chemical organic compounds and mixtures in water will be discussed in this paper.
机译:提出了定性和定量检测水资源中杂质,有害物质,农药和污染物的光学光致发光光谱法。该方法基于有机芳族化合物或聚芳烃(PAH)的同步荧光光谱(SFS),并且通过同时跟踪其激发和发射光谱来进行。以这种方式生成的全激发发射矩阵(EEM)提供了被测样品的2-D和3-D荧光图,通过轴原点的对角线提供了在恒定波长处的同步荧光光谱,发射和激发波长之间存在差异,从而可以识别多个组件。该图包含测试样品的所有相关光谱信息,并用作具有非常具体和准确标识的唯一“指纹”。当与“数据库”中的预定光谱和校准曲线进行比较时,图像与特定化合物之间存在一一对应的关系,并且可以在定性和定量方面进行准确识别。该方法具有多个显着优点,并且提供了灵敏的(ppm检测水平),准确而简单的光谱工具来监控水中的杂质和污染物。本文将讨论分光荧光计原型的设计和性能,以及水中化学有机化合物和混合物的软件开发和分析。

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