红外光谱结合X射线荧光光谱分析多种塑料袋组份的研究
|
摘要
为建立一种简便快捷、准确可靠的检验塑料袋样品的分析方法,利用傅立叶红外光谱仪(FTIR)结合能量色散型X射线荧光光谱仪(XRF),对43个不同品牌、不同规格的塑料袋样品进行测定。结果表明,依据样品的有机成分和样品中所含元素的种类及含量的不同,可以对样品进行区分,同时,利用SPSS聚类分析Ward法作为类间距离,对塑料袋样品进行分类,效果较好。并且该方法操作简便快速、结果准确可靠、样品无需特殊的前处理,且属于无损检验,该方法可以用于公安机关实际办案。
In order to establish a simple,fast,accurate and reliable method for the analysis of plastic bag samples,the Fourier infrared spectrometer(FTIR)combined with the energy dispersive X-ray fluorescence spectrometer(XRF)was used to determine 43 plastic bag samples of different brands and specifications.The results show that the samples can be distinguished according to the different types and contents of organic components and elements contained in the samples.Meanwhile,the Ward method of SPSS clustering analysis is used as the class distance to classify the plastic bag samples with good results.Moreover,this method is simple and fast in operation,accurate and reliable in results.The samples do not need special pretreatment and belong to non-destructive inspection.This method can be used in the practical case handling of public security organs.
In order to establish a simple,fast,accurate and reliable method for the analysis of plastic bag samples,the Fourier infrared spectrometer(FTIR)combined with the energy dispersive X-ray fluorescence spectrometer(XRF)was used to determine 43 plastic bag samples of different brands and specifications.The results show that the samples can be distinguished according to the different types and contents of organic components and elements contained in the samples.Meanwhile,the Ward method of SPSS clustering analysis is used as the class distance to classify the plastic bag samples with good results.Moreover,this method is simple and fast in operation,accurate and reliable in results.The samples do not need special pretreatment and belong to non-destructive inspection.This method can be used in the practical case handling of public security organs.
引文
[1]李淑英,温志胜,李跃龙.红外光谱法检验常见的塑料物证[J].广东公安科技,2001,2(62):16-19.
[2]刘芳,刘银.市售塑料袋的红外光谱分析[J].食品工业,2013,(2):186-187.
[3]董鹍,饶之帆,杨晓云,等.几种塑料的拉曼光谱检验[J].塑料工业,2011,39(6):67-70.
[4]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.
[5]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):326-331.
[6]姜红,务瑞杰,钟宇,等.X射线荧光光谱法检验塑料拖鞋样品[J].上海塑料,2017,(3):13-17.
[7]詹白勺,杨建国,倪君辉,等.基于LVs-LS-SVM近红外光谱检测柴油运动粘度的方法研究[J].化学研究与应用,2017,29(9):1346-1351.
[8]苏清兴,尹应武.能量色散型X射线荧光光谱法测定聚合物材料中镉和铅含量[J].化学研究与应用,2015,27(5):671-674.
[9]Goldberger J,Tassa T.A hierarchical clustering algorithm based on the Hungarian method[J].Pattern Recogn Lett,2008,29(1):1632-1638.
[10]Cilibrasi R L,Vitányi P M B.A fast quartet tree heuristic for hierarchical clustering[J].Pattern Recogn,2011,44(3):662-677.
[11]牛凡,黄建同,何欣龙,等.基于多变量-系统聚类分析法区分蓝色圆珠笔色痕[J].化学研究与应用,2017,29(1):37-43.
[12]何欣龙,王继芬,刘文浩,等.拉曼光谱结合聚类分析法区分检验塑钢窗[J].化学研究与应用,2017,29(9):1387-1392.
[2]刘芳,刘银.市售塑料袋的红外光谱分析[J].食品工业,2013,(2):186-187.
[3]董鹍,饶之帆,杨晓云,等.几种塑料的拉曼光谱检验[J].塑料工业,2011,39(6):67-70.
[4]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.
[5]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):326-331.
[6]姜红,务瑞杰,钟宇,等.X射线荧光光谱法检验塑料拖鞋样品[J].上海塑料,2017,(3):13-17.
[7]詹白勺,杨建国,倪君辉,等.基于LVs-LS-SVM近红外光谱检测柴油运动粘度的方法研究[J].化学研究与应用,2017,29(9):1346-1351.
[8]苏清兴,尹应武.能量色散型X射线荧光光谱法测定聚合物材料中镉和铅含量[J].化学研究与应用,2015,27(5):671-674.
[9]Goldberger J,Tassa T.A hierarchical clustering algorithm based on the Hungarian method[J].Pattern Recogn Lett,2008,29(1):1632-1638.
[10]Cilibrasi R L,Vitányi P M B.A fast quartet tree heuristic for hierarchical clustering[J].Pattern Recogn,2011,44(3):662-677.
[11]牛凡,黄建同,何欣龙,等.基于多变量-系统聚类分析法区分蓝色圆珠笔色痕[J].化学研究与应用,2017,29(1):37-43.
[12]何欣龙,王继芬,刘文浩,等.拉曼光谱结合聚类分析法区分检验塑钢窗[J].化学研究与应用,2017,29(9):1387-1392.