Volume 47 Issue 8
Aug.  2018
Turn off MathJax
Article Contents

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

Spectral analysis of plastic beverage bottles based on cluster analysis

doi: 10.3788/IRLA201847.0823002
  • Received Date: 2018-03-05
  • Rev Recd Date: 2018-04-03
  • Publish Date: 2018-08-25
  • 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.
  • [1] Yang Xiaoming. Study on the standard of plastic bottles(PET) for food[J]. China Packaging, 2015(11):58-60. (in Chinese)杨晓铭. 食品用塑料瓶(PET)标准探讨研究[J]. 中国包装, 2015(11):58-60.
    [2] Jiang Hong, Gao Chunfang, Wu Ruijie, et al. Analysis of plastic beverage bottles by XRF[J]. Shanghai Plastics, 2016(4):52-57. (in Chinese)姜红, 高春芳, 务瑞杰, 等. X射线荧光光谱法检验塑料饮料瓶的研究[J]. 上海塑料, 2016(4):52-57.
    [3] Jiang Hong. Inspection and application of trace plastics on the scene of criminal cases[J]. Journal of Chinese People's Public Security University(Science and Technology), 2005(3):37-39. (in Chinese)姜红. 刑事案件现场上微量塑料的检验及应用[J]. 中国人民公安大学学报(自然科学版), 2005(3):37-39.
    [4] Zhang Jianan, Jiang Hong, Guo Peng, et al. Study on analysis of plastic beverage bottles by FT-IR[J]. Studies of Trace Elements and Health, 2016, 33(4):61-62. (in Chinese)张嘉楠, 姜红, 郭鹏, 等. 傅里叶变换红外光谱法检验塑料饮料瓶的研究[J]. 微量元素与健康研究, 2016, 33(4):61-62.
    [5] Jiang Hong, Li Mingjian, Yan Zilong, et al. Study on analysis of plastic woven bag by fourier transform infrared spectrophotometer(FT-IR)[J]. Journal of Liaoning University of Petroleum Chemical Technology, 2014, 34(4):13-17. (in Chinese)姜红, 李明健, 阎子龙, 等. 傅里叶变换红外光谱法检验塑料编织袋的研究[J]. 辽宁石油化工大学学报, 2014, 34(4):13-17.
    [6] Jiang Hong, Zhang Lu, Man Ji, et al. Analysis of black plastic bag by XRF[J]. Journal of Liaoning Normal University(Natural Science Edition), 2017, 40(1):69-73. (in Chinese)姜红, 张璐, 满吉, 等. X射线荧光光谱法检验黑色塑料袋的研究[J]. 辽宁师范大学学报(自然科学版), 2017, 40(1):69-73.
    [7] Jiang Hong, Fan Ye, Wang Jiageng, et al. Study on the test of rubber soles by X-ray fluorescent spectrum[J]. Infrared and Laser Engineering, 2017, 46(10):1023002. (in Chinese)姜红, 范烨, 王嘉庚, 等. X射线荧光光谱法检验橡胶鞋底的研究[J]. 红外与激光工程, 2017, 46(10):1023002.
    [8] Du Yan, Jiang Hong, Li Xiaobai, et al. Analysis of plastic straws by fourier transform infrared spectroscopy[J]. Shanghai Plastics, 2014(2):320-326. (in Chinese)杜岩, 姜红, 李晓白, 等. 傅里叶变换红外光谱法检验塑料吸管的研究[J]. 上海塑料, 2014(2):320-326.
    [9] Gong Liyan, Meng Xianjun, Liu Naiqiao, et al. Evaluation of apple quality based on principal component and hierarchical cluster analysis[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(13):276-285. (in Chinese)公丽艳, 孟宪军, 刘乃侨, 等. 基于主成分与聚类分析的苹果加工品质评价[J]. 农业工程学报, 2014, 30(13):276-285.
    [10] Liu Shushen, Yi Zhongsheng. Foundation of Chemometrics[M]. Beijing:Science Press, 1998:159. (in Chinese)刘树深, 易忠胜. 基础化学计量学[M]. 北京:科学出版社, 1998:159.
    [11] Tian Bing. Hierarchical clustering method and its research about application[J]. Yinshan Academic Journal(Natural Science Edition), 2014, 28(2):11-16. (in Chinese)田兵. 系统聚类法及其应用研究[J]. 阴山学刊(自然科学版), 2014, 28(2):11-16.
    [12] Wu Suhui, Cheng Ying, Zheng Yanning, et al. Survey on K-means Algorithm[J]. New Technology of Library and Information Service, 2011(5):28-35. (in Chinese)吴夙慧, 成颖, 郑彦宁, 等. K-means算法研究综述[J]. 现代图书情报技术, 2011(5):28-35.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Article Metrics

Article views(581) PDF downloads(27) Cited by()

Related
Proportional views

Spectral analysis of plastic beverage bottles based on cluster analysis

doi: 10.3788/IRLA201847.0823002
  • 1. School of Criminal Science and Technology,People's Public Security University of China,Beijing 100038,China;
  • 2. Baiyun District Branch of Guangzhou Municipal Public Security Bureau,Guangzhou 510420,China;
  • 3. Beijing Huayi Honrizon Technology Co.,Ltd.,Beijing 100123,China

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.

Reference (12)

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return