文章通过对三种塑料样品ABS、PP、PC的拉曼光谱进行分析和比较,根据光谱的相似度算法定量计算相关的特征参数,从而区分开这三种样品。我们采用自适应迭代重加权惩罚最小二乘法（air-PLS）对2002000cm-1波段的原始光谱进行预处理,并分别采用夹角余弦法和广义Jaccard系数法计算测量样品的相似度,显示两种计算方法在判别相同和不同样品的相似性上各有优势。研究表明采用激光拉曼光谱技术结合相似性分析可以鉴别ABS、PP、PC三种塑料样品成份的差别

吴兆喜

董小鹏

赖博文

陆豆

English

Xiamen University Institutional Repository

15电子技术研发 Electronics R & D10.3969/j.issn.1000-0755.2018.02.0051 引言?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????[1]???????????????3C?????????????????????????????????????????????????????????????????[1]?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????电器产品塑料部件成份比对的拉曼光谱分析方法吴兆喜1  陆 豆2  赖博文2  董小鹏2(1.厦门出入境检验检疫局检验检疫技术中心，福建厦门  361012，1. 厦门大学信息科学与技术学院光波技术研究所，福建厦门 361005)摘 要????????????ABS?PP?PC??????????????????????????????????????????????????????????????????air-PLS??200~2000cm-1??????????????????????????Jaccard???????????????????????????????????????????????????????????????????ABS?PP?PC????????????关键词????????????air-PLS????中图法分类号:O657.37    文献标识码:A     文章编号:1005-0086(?)Plastic components consistency analysis of electronic appliance based on Raman spectra similarity calculationLu Dou1  Lai Bowen2  Dong Xiaopeng2*  Wu Zhaoxi21.Lightwave Technology Institute?Information Science and Engineering College?Xiamen University?Xiamen 361005?2. Technology Center?Xiamen Entry-Exsit Inspection and Quarantine Bureau?Xiamen 361012Abstract? This paper analyzed and compared similarity for three plastic samples ABS?PP?PC?in order to distinguish them. Adaptive iteratively reweighted Penalized Least Squares?air-PLS?method was adopted to pre-process 200?2000cm-1 original spectral bands?and the similarity of three samples were calculated by Cosine method and general Jaccard coefficient method?respectively. The results showed that each method has its advantages to distinguish the same and different kinds of samples. Laser Raman spectra techonology combined with similarity analyisis is feasible to distinguish three plastic samples ABS?PP?PC.Key words? Raman spectroscopy; similarity analysis of samples; air-PLS; similarity?????Thermo Fisher Scientific?????????????????????????CCD?????1600-2400nm???????????????????????????????????????????????????????????????????????????????????????????????????????????????????ABS?PP?PC????????????????????????????????????????????????Iteratively  reweighted least squares?air-PLS?[2]????????????,???????????[3]???Jaccard???[4]??????????????????????????????????Jaccard?????????????????????????????????????????????????????????16电子技术研发 Electronics R & D2 实验仪器和样品2.1 实验系统与仪器??HORIBA Scientific ?????Xplora O N E T M????????????????LabSpecApplication????????????????????????????Matlab??????????????? ?1 ?????Xplora ONETM???????????Figure 1  The Xplora ONETM confocal micro Raman spectrometer2.2 实验样品及编号??????????ABS?PP?PC???????????20mm?20mm?1.5mm??????1?3????ABS?PP?PC???3 光谱数据的预处理与相似度分析3.1 样品拉曼光谱的采集????????Xplora???????????????LabSpec??????????785nm???????????10s??????300mm????????100mm??????????????????????????????????????????????2?4???????“sample1-1?1-2?1-3”??????1????????????????????????2?4????????????????????????????????????????? ?2 ??1(ABS)?????????????Figure2 Original Raman spectrum of sample 1(ABS) measured by three times3 ??2(PP)?????????????Figur3 Original Raman spectrum of sample 1(ABS) measured by three times ?4 ??3(PC)?????????????Figure4 Original Raman spectrum of sample 1(ABS) measured by three times3.2 拉曼光谱的预处理????????????????????????????CCD??????????????????????????????????????????????????????????????????????????????????1???????????2????????????????matlab?????smooth???????????????????????????????????air-PLS????????????????????????????????????????????????smooth(y)??????????????y??????????y??????Y??????????????5????????Y(1)=y(1)Y(2)=(y(1)+y(2)+y(3))/3Y(3)=(y(1)+y(2)+y(3)+y(4)+y(5))/5Y(4)=(y(2)+y(3)+y(4)+y(5)+y(6))/5Y(5)=(y(3)+y(4)+y(5)+y(6)+y(7))/5...17电子技术研发 Electronics R & DAir-PLS????????????????????????????????????????????????????????????????????????????????5???1?????????????????????????????????????????????0??? ?5 ??1???????????Figure5 Spectra comparison of sample1 before and after background correction3.3 拉曼光谱的相似度分析???????????????????????????????????????????????????????????????????????????????????????????????????????????N?????????????????????N?????????[5]????????????????????[6,7]????????????????Jaccard??????????????????????????????????3.3.1 夹角余弦法??xi???yi??i=1,2,3,..N????N????????X?Y,??????????????????[3]?                                                                   ?1???????????0?1??????1????????3.3.2 广义Jaccard系数法??Jaccard???????[4]?                                                                    ?2?2/11 1221),cos(=∑ ∑∑= ==niniiiniiiyxyxyx∑ ∑ ∑∑= = ==−+= nininiiiiiniiiyxyxyxyxsim1 1 1221),(??Jaccard??????????????????????????????????????????????????????1?2???????????????????????????????????1 ???????????????Tab.1 Sample similarity computed by Cosine method?2 ??Jaccard?????????????Tab.2 Sample similarity computed by general Jaccard coefficient method??1??2???????????????????0.92???????????????0.32?????????????????????????????????????????????????????Jaccard????????????????????????????????????????????????????????????Jaccard????????5 结论?????????????????????????????????????????????????????????????????????air-PLS????????????????????????????????????Jaccard?????????????????????????????????????????????????????????????????????ABS?PP?PC????????????????参考文献[1]   Documents issued by China national accreditation 18电子技术研发 Electronics R & D        supervision and administration commission,        CNCA-C07:2014 Compulsory product certification        implementation rules for household and similar         purposes.???????????????????????,         CNCA-C07-01:2014 ??????????? ?????????????[2]   Zhang Z M, Chen S and Liang Y Z, Baseline         correction using adaptive iteratively reweighted         penalized least squares. 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电器产品塑料部件成份比对的拉曼光谱分析方法

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电器产品塑料部件成份比对的拉曼光谱分析方法

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