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Three-dimensional fluorescence spectra of mineral oil and extraction method of characteristic parameters

机译:矿物油的三维荧光光谱及其特征参数的提取方法

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To realize the on-line fluorescence monitoring of mineral oil pollution in water, three-dimensional spectral characteristic of oil-water intermixtures must be studied and the characteristic must be extracted. Using excitation wavelength, fluorescence wavelength and fluorescence intensity as three-dimensional system of coordinate, through sampling and surface fitting, three-dimensional fluorogram is gotten, which can provide gist for oil discrimination when presented in contour chart (finger-print map of oils). But there is little difference between characteristics of three-dimensional fluorogram because of the similarity of constituent and structure of similar oils. Therefore this paper introduces quantitative analysis method—characteristic parameter method which starts with analyzing statistical characteristic of three-dimensional fluorogram. Using RFPC fluorescence spectrometer (Shimadzu, Japan), three-dimensional fluorescence spectra of diesel oil, machine oil, gasoline oil, crude oil are measured and parameterized. The result shows that as a quantitative classified discrimination method of three-dimensional fluorescence spectra, the parameter of characteristic parameter method possesses definiteness for three-dimensional fluorescence spectra, and it is applicable, available when used in oil discrimination.
机译:为了实现对水中矿物油污染的在线荧光监测,必须研究油水混合物的三维光谱特征并提取特征。以激发波长,荧光波长和荧光强度为坐标的三维系统,通过采样和表面拟合,获得了三维荧光图,当轮廓图(油的指纹图)显示时,可以提供鉴别油的依据。 。但是,由于类似油的成分和结构相似,因此三维荧光图的特性之间几乎没有差异。因此,本文从定量分析三维荧光图的统计特性入手,介绍了定量分析方法-特征参数法。使用RFPC荧光光谱仪(日本岛津市),对柴油,机油,汽油,原油的三维荧光光谱进行测量和参数化。结果表明,作为三维荧光光谱的定量分类判别方法,特征参数法的参数对三维荧光光谱具有一定的确定性,适用于油的判别。

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