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Application of advanced optical methods for classification of air contaminants

机译:先进的光学方法在空气污染物分类中的应用

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Biochemical, highly sensitive methods of pollutant identification have common drawbacks - relatively long analysis time and the necessity of on-site sample collection. Optical methods are less sensitive and less selective, but they allow real time analysis. These optical methods include Fourier Transform Infrared Spectroscopy (FTIR), and Laser Induced Fluorescence (LIF). Both methods give the possibility of stand-off detection. The aim of the presented work is to study the possibilities of detection and classification of air contaminants, based on their optical properties. In this work we present measurement results of UV-VIS fluorescence characteristics and IR optical absorption of vegetable pollens, bacterial spores, and non-biological air contaminants (diesel fuel, dust, syloid). Results of the principal components analysis show that both LIF and FTIR methods allow distinguishing between groups of materials, i.e. pollens and non-biological materials, thus making application of these methods for detection and preliminary classification possible.
机译:生化,高度敏感的污染物识别方法具有共同的缺点-相对较长的分析时间和现场采样的必要性。光学方法灵敏度较低,选择性较低,但可以进行实时分析。这些光学方法包括傅立叶变换红外光谱(FTIR)和激光诱导荧光(LIF)。两种方法都可以进行隔离检测。提出的工作的目的是研究基于空气污染物的光学特性来检测和分类空气污染物的可能性。在这项工作中,我们介绍了蔬菜花粉,细菌孢子和非生物空气污染物(柴油,粉尘,淀粉样蛋白)的UV-VIS荧光特性和IR光学吸收的测量结果。主成分分析的结果表明,LIF和FTIR方法都可以区分材料组,即花粉和非生物材料,从而使这些方法可用于检测和初步分类。

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