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为解决微含量石油类污染物识别问题,采用三维荧光光谱(EEMs)与平行因子(PARAFAC)相结合的技术,研究了石油类样品荧光组分特征及平行因子组分识别方法。依据水体中石油类含量的标准规定,配制出与Ⅰ-Ⅴ类水体对应的CCL4含油样品,用来模拟油类污染物成分。首先对97#汽油、0#柴油、普通煤油及CCL4溶剂进行三维荧光光谱扫描,得到纯组分样品的三维荧光光谱图,其次对97#汽油、0#柴油及普通煤油的标准样品进行三维荧光光谱图测定,最后对97#汽油、0#柴油、普通煤油在CCL4溶剂中的混合样品进行三维荧光光谱图测定。在掌握上述不同组分样品的三维荧光光谱特性的基础上,重点分析微含量下97#汽油、0#柴油及煤油混合液的三维荧光光谱,应用平行因子方法解析出样品中三种组分的激发与发射特征光谱以及组分间的浓度比。解决了混合样品荧光光谱出现叠加,用化学分离或单纯荧光分析方法较难识别荧光组分的问题,实现了对微含量含油混合样品的主要组分的识别,并得到混合样品溶液中不同组分间浓度比。
In order to solve the problem of the identification of petroleum pollutants with micro content, the characteristics of fluorescence components and the identification methods of parallel factor components were studied by the combination of three-dimensional fluorescence spectroscopy (EEMs) and parallel factor (PARAFAC). According to the standards for petroleum content in water, CCL4 oil samples corresponding to Ⅰ-Ⅴ water bodies were prepared to simulate the oil pollutants. The three-dimensional fluorescence spectra of 97 # gasoline, 0 # diesel oil, common kerosene and CCL4 solvent were first scanned to obtain the three-dimensional fluorescence spectrum of the pure component samples. Then the standard samples of 97 # gasoline, 0 # diesel oil and ordinary kerosene were subjected to three-dimensional fluorescence Finally, the three-dimensional fluorescence spectra of mixed sample of 97 # gasoline, 0 # diesel oil and ordinary kerosene in CCL4 solvent were determined. On the basis of grasping the three-dimensional fluorescence spectra of the above-mentioned different components, the three-dimensional fluorescence spectra of 97 # gasoline, 0 # diesel oil and kerosene under the micro content were analyzed emphatically, and the parallel factor method was used to analyze the three components Excitation and emission characteristic spectra and the concentration ratio between the components. The problem that the fluorescence spectra of the mixed samples are superposed and the fluorescent components are hard to be identified by the chemical separation or the simple fluorescence analysis method is solved, the main components of the oil-in-oil mixed sample with micro content are identified, and the components in the mixed sample solution are obtained. Concentration ratio.