姜红, 鞠晨阳, 务瑞杰, 范烨, 满吉. 聚类分析法的塑料饮料瓶光谱分析[J]. 红外与激光工程, 2018, 47(8): 823002-0823002(6). DOI: 10.3788/IRLA201847.0823002
引用本文: 姜红, 鞠晨阳, 务瑞杰, 范烨, 满吉. 聚类分析法的塑料饮料瓶光谱分析[J]. 红外与激光工程, 2018, 47(8): 823002-0823002(6). DOI: 10.3788/IRLA201847.0823002
Jiang Hong, Ju Chenyang, Wu Ruijie, Fan Ye, Man Ji. Spectral analysis of plastic beverage bottles based on cluster analysis[J]. Infrared and Laser Engineering, 2018, 47(8): 823002-0823002(6). DOI: 10.3788/IRLA201847.0823002
Citation: Jiang Hong, Ju Chenyang, Wu Ruijie, Fan Ye, Man Ji. Spectral analysis of plastic beverage bottles based on cluster analysis[J]. Infrared and Laser Engineering, 2018, 47(8): 823002-0823002(6). DOI: 10.3788/IRLA201847.0823002

聚类分析法的塑料饮料瓶光谱分析

Spectral analysis of plastic beverage bottles based on cluster analysis

  • 摘要: 为了对塑料饮料瓶物证进行检验分析,利用傅里叶变换红外光谱仪、X射线荧光光谱仪和厚度仪,对57个塑料饮料瓶样品进行抽查检验,并结合聚类分析方法进行了分析处理。首先,红外光谱法可对塑料饮料瓶样品的主要成分进行检验,根据样品成分的不同,可分为聚乙烯(PE)和聚对苯二甲酸乙二醇酯(PET)两大类;其次,通过X射线荧光光谱法对样品中的主要填料碳酸钙进行测定,根据Ca元素的含量可以对样品进行区分;最后,利用测厚仪可对塑料饮料瓶样品的厚度进行测定。根据样品的颜色、规格、成分、Ca元素的含量以及样品的厚度,结合聚类分析法可以将样品进行区分,实验结果表明该方法简便快速、结果准确可靠、且无损检材,可用于检验区分塑料饮料瓶。

     

    Abstract: In order to test and analyze the physical evidence of plastic beverage bottles, 57 samples of plastic beverage bottles were inspected by Fourier transform infrared spectrometer(FTIR), X-ray fluorescence spectrometer (XRF) and thickness meter, and analyzed and treated by means of cluster analysis. Firstly, the main components of plastic beverage bottles were tested by infrared spectroscopy. According to the different components of the samples, they can be divided into polyethylene (PE) and polyethylene terephthalate (PET). Secondly, the main filler calcium carbonate in the sample can be determined by X-ray fluorescence spectrometry, and the samples can be distinguished according to the content of Ca elements. Finally, the thickness of plastic beverage bottle sample can be measured by thickness meter. According to the color, specification, composition, Ca content and sample thickness of the samples, the samples can be distinguished by the cluster analysis method. The experimental results show that the method is simple, fast, accurate, reliable and non-destructive, and can be used to distinguish and inspect plastic beverage bottles.

     

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